chapman and hall crc jun 2025 (31 risultati)

Taschenbuch. Condizione: Neu. Neuware - This book provides readers with the concepts and tools necessary to bring a robot to life through programming. It will equip them with the skills necessary to undertake projects with ROS2, the new version of ROS, with no previous experience with ROS2 needed.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Launching a startup is like climbing a mountain, just maybe more treacherous. I say this as I have spent years as a backpacker and entrepreneur. While hiking through the Alaskan Tundra, I feared brown bears and crevasses. Yet, nothing prepared me for the responsibility of payroll for over 200 families relying on my business plan to feed their children.Unlike traditional software, the mere smell of hardware sensors and robot gearing sends shivers through most investors, with red flags arising from the perceived capital inefficiencies and intense research and development. This is coupled with a high talent requirement before launching even a minimum viable product, as these inventions demand a cross-section of skills: mechanical, electrical, and software engineering. To set out on the trail of uncrewed success, machine inventors and founders require a detailed field guide to meet customer demand and financing objectives.My goal for this book is to help you at a pivotal point in your ideation process and, at the same time, introduce you to a cadre of potential mentors. Through interviews with some of the most respected luminaries in this field, I aim to help fortify your resolve to follow your passions and build a billion-dollar company. The chapters of this book have been organized like a field guide, as if you are setting out on a trip in the wild. Just like it's essential to satiate yourself before scaling mountains, fast-tracking your innovation into the hands of early adopters is vital for achieving success on Main Street. 162 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The advent of Generative AI has democratized access to AI, prompting nearly everyone in healthcare organizations - from frontline workers to business leaders - to ask pressing questions: How can I be better equipped to support AI adoption meaningfully How do I ensure I ask the right questions What cautions should I exercise as I think about AI/machine learning (ML) in my business process This book aims to answer these and other such questions and to empower healthcare professionals, at all levels, by providing them knowledge across various aspects of AI/ML, enabling them (at least in part) to realize positive, lasting business value from AI and ML initiatives. This book draws upon my experience of working in healthcare AI/ML, lessons I learned while observing leaders in this space trying to make a difference, and research (for evolving topics like sustainable AI development and securing AI/ML systems).This book provides readers with actionable insights to build responsible, secure, and sustainable AI/ML solutions in healthcare and delves into key principles for scaling AI/ML value delivery, including establishing Machine Learning Operations (MLOps) processes and launching citizen data science programs. At its heart, this book features a healthcare-specific case study that bridges the gap between theoretical knowledge and practical application, illustrating all major concepts in a real-world context.The final chapter of this book offers a forward-looking commentary on the future of healthcare AI/ML. It explores the potential of Generative AI for healthcare and advocates leveraging lessons from past AI/ML implementations to chart a meaningful path for embracing Generative AI. Additionally, this book emphasizes the importance of adopting 'reciprocal altruism' to accelerate AI/ML value realization across the healthcare industry and provides practical recommendations toward the same. 298 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -How do we conquer uncertainty, insecurity, and anxiety over college mathematics You can do it, and this book can help.The author provides various techniques, learning options, and pathways. Students can overcome the barriers that thwart success in mathematics when they prepare for a positive start in college and lay the foundation for success.Based on interviews with over 50 students, the book develops approaches to address the struggles and success these students shared. Then the author took these ideas and experiences and built a process for overcoming and achieving when studying not only the mathematics many colleges and universities require as a minimum for graduation, but more to encourage reluctant students to look forward to their mathematics courses and even learn to embrace additional ones.Success breeds interest, and interest breeds success. Math anxiety is based on test anxiety. The book provides proven strategies for conquering test anxiety. It will help find ways to interest students in succeeding in mathematics and assist instructors on pathways to promote student interest, while helping them to overcome the psychological barriers they face. Finally, the author shares how math is employed in the 'real world,' examining how both STEM and non- STEM students can employ math in their lives and careers. Ultimately, both students and teachers of mathematics will better understand and appreciate the difficulties and how to attack these difficulties to achieve success in college mathematics. 246 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Meta-analysis is the statistical combination of previously conducted studies, often from summary statistics but sometimes with individual participant data. It is widespread in life sciences and is gaining popularity in economics and beyond. In many real-life meta-analyses, challenges in the source information, such as unreported statistics or biases, can be incorporated using Bayesian methods. Bayesian Meta-Analysis: A Practical Introduction provides an approachable introduction for researchers who are new to Bayes, meta-analysis, or both. There is an emphasis on hands-on learning using a variety of software packages.Key FeaturesIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistical researchersExamples of basic meta-analyses in seven different software alternatives: BUGS, JAGS, Stan, bayesmeta, brms, Stata, and JASPPractical advice on extracting information from studies, eliciting expert opinions, managing project decisions, and writing up findingsDiscussion of specific problems, including publication bias, unreported statistics, and a mixture of study designs, with code examplesAccompanying online blog and forum, with all code and data from the book, plus more translations to different softwareThis book aims to bridge the gap between the researcher who wants to carry out tailored meta-analysis and the techniques they need, which have previously been available only in mathematically or computationally demanding publications. 330 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Analyze large datasets directly from R. Scaling Up With R and Arrow provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. As data grows in size and complexity, traditional data analysis methods in R often hit technical limitations. In this book, you'll learn how to overcome these hurdles without needing to set up complex infrastructure.You'll learn about the Apache Arrow project's origins, goals, and its significance in bridging the gap between data science and big data ecosystems. You'll also learn how to leverage the arrow R package to work directly with files in various formats, such as CSV and Parquet, using familiar dplyr syntax. This book explores practical topics like data manipulation, file formats, working with larger datasets, and optimizing workflows for data in cloud storage. Advanced chapters examine user-defined functions, integration with other tools like DuckDB, and extending Arrow's capabilities to work with geospatial data.Written by developers of the Arrow R package, this guide is essential for anyone looking to scale their data processing capabilities in R. 162 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -AI for Community begins with a simple truth: artificial intelligence is now part of the evolution of human life. The question is not whether we use it, but how we shape it. This book explores how AI can preserve cultural heritage, strengthen human agency, and deepen cultural understanding through community-driven design.The concept of Cultural AI was first shared on the global stage at the AI for Good Summit in Geneva in 2019, where technologists and storytellers gathered to imagine a future where machines could learn from ancestral wisdom. From NVIDIA's collaboration with Te Hiku Media to protect the Maori language to UNESCO's global initiatives in cultural preservation, the book shows how Cultural AI can serve as a bridge between generations. Authored by a multigenerational, multicultural team, it highlights grounded, human-centered projects shaped by lived experience. These include the Indigenous Knowledge Graph; Howard University's Project Elevate Black Voices, developed with Google; and Laleh AI, which preserves and extends the knowledge of the late Dr. Laleh Bakhtiar, a pioneering thinker whose work in psychology, spirituality, and translation continues to echo across time.This book interweaves Community Voices sections between chapters, featuring interviews that explore the role and implementation of AI in new arenas. Each chapter is also supported by online resources, accessible as podcasts, videos, and articles that provide multimedia ways to deepen understanding of culturally aware AI.AI for Community highlights how community-driven language preservation, storytelling, and design can empower cultures and protect their heritage. It is a vital resource for those seeking to create AI that respects and uplifts communities. 214 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the integration of Generative Artificial Intelligence (GenAI), such as ChatGPT, into educational practices and research methodologies. With the potential to transform traditional learning environments, this book addresses both the opportunities and challenges that come with leveraging GenAI for enhancing teaching and learning experiences.This comprehensive guide delves into multiple aspects of GenAI in education. It covers critical topics such as project-based learning (PBL), personalized learning through AI, AI-driven student assessment, and the role of AI in special education. Furthermore, it examines ethical considerations, the readiness of students and teachers for AI technologies, and case studies on AI's impact on student outcomes. With insights from educators, researchers, and practitioners from around the globe, the book provides a balanced perspective on both theoretical frameworks and practical implementation of GenAI technologies.Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts. It is an essential reference for anyone interested in staying at the forefront of educational innovation and exploring the future possibilities of AI-empowered learning. 250 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Since the first edition of 'Data Science and Analytics with Python' we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widespread adoption of the book, not just among business practitioners, but also by universities as a key textbook. In response to this growth, this new edition builds upon the success of its predecessor, expanding several sections, updating the code to reflect the latest advancements in Python libraries and modules, and addressing the ever-evolving landscape of generative AI (GenAI).This updated edition ensures that the examples and exercises remain relevant by incorporating the latest features of popular libraries such as Scikit-learn, pandas, and Numpy. Additionally, new sections delve into cutting-edge topics like generative AI, reflecting the advancements and the expanding role these technologies play. This edition also addresses crucial issues of explainability, transparency, and fairness in AI. These topics have rightly gained significant attention in recent years. As AI integrates more deeply into various aspects of our lives, understanding and mitigating biases, ensuring fairness, and maintaining transparency become paramount. This book provides comprehensive coverage of these topics, offering practical insights and guidance for data scientists and analysts.Designed as a practical companion for data analysts and budding data scientists, this book assumes a working knowledge of programming and statistical modelling but aims to guide readers deeper into the wonders of data analytics and machine learning. Maintaining the book's structure, each chapter stands alone as much as possible, allowing readers to use it as a reference as well as a textbook. Whether revisiting fundamental concepts or diving into new, advanced topics, this book offers something valuable for every reader. 516 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising. The design of the DL models based on artificial neural networks is influenced by the structure and operation of the brain. This book presents a comprehensive resource for those who seek a solid grasp of the techniques in DL.Key features:Provides knowledge on theory and design of state-of-the-art deep learning models for real-world applicationsExplains the concepts and terminology in problem-solving with deep learningExplores the theoretical basis for major algorithms and approaches in deep learningDiscusses the enhancement techniques of deep learning modelsIdentifies the performance evaluation techniques for deep learning modelsAccordingly, the book covers the entire process flow of deep learning by providing awareness of each of the widely used models. This book can be used as a beginners' guide where the user can understand the associated concepts and techniques. This book will be a useful resource for undergraduate and postgraduate students, engineers, and researchers, who are starting to learn the subject of deep learning. 200 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers the theory of causal analysis and its applications. The authors have developed this book in relation to its applications to four climatological phenomena to prove the theory of causal analysis in time sequential data analysis.Local Causal Test and the Partial Causal Test are used to study the theory of causal analysis. These are then applied to understand the climate effects of the eruption at Mt. Pinatubo, the effect of the El Niño and Southern Oscillation (ENSO), and the North Atlantic Oscillation (NAO). The reader learns about Test(S), a statistical test used to determine if the statistical properties of the data, such as mean and variance, remain constant over time within a local window. The authors also use the Stationary Test and Causality Test in time series to explore relationships within a localized subset of data as witnessed from the climate phenomenon. The book looks at the eruption at Mt. Pinatubo, ENSO, and NAO and applies causal theory to study the resultant air temperature at the 1000 hPa pressure level, geopotential height of 1000 hPa pressure surface, and surface precipitation. The program code of the causal analysis is offered for readers to be able to reconfirm the results and apply it to other time-sequential data.This book is useful for researchers and graduate students of applied mathematics, physics, geophysics, meteorology, oceanography, engineering technology, and economics. 132 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodward, Epidemiology: Study Design and Data Analysis, Third Edition. It aims to equip the reader with sufficient knowledge to use R for practising epidemiology. Towards this aim, it reworks the examples in the textbook, presenting the code followed by an explanation and its result.Key Features:Almost all of the numerical examples in the textbook are reworked in RR code is introduced in small portions and explained thoroughlyComplexity of introduced code is increased only graduallyMore than 300 commands spanning more than 40 libraries are introducedThe book is intended primarily to be used as a supplement to the textbook by undergraduate and graduate students in the fields of epidemiology and statistics. It will also serve practitioners and researchers in epidemiology who want to learn R for use in their work. 414 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Teaching and Learning Mathematics Online, Second Edition continues to present meaningful and practical solutions for teaching mathematics and statistics online. It focuses on the problems observed by mathematics instructors currently working in the field who strive to hone their craft and share best practices with the community. The book provides a set of standard practices, improving the quality of online teaching and the learning of mathematics. Instructors will benefit from learning new techniques and approaches to delivering content.New to the Second EditionNine brand new chaptersReflections on the lessons of COVID-19Explorations of new technological opportunities 696 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is designed to provide students, teachers, and researchers with a text that includes a full range of statistical methods available to address commonly encountered research problems. Many textbooks for introductory, intermediate, and advanced statistics courses focus heavily on parametric methods. However, in practice, the assumptions underlying these methods are frequently not met, therefore calling into question their use. This book addresses this issue by presenting parametric, nonparametric, robust, and Bayesian techniques that are appropriate for research scenarios often encountered in practice and typically found in statistics courses. For each of these major topics, the standard parametric approach is presented, along with the assumptions underlying it and the methods used to assess the viability of these assumptions. Next, a set of alternative techniques for the research scenario is presented and applied to the motivating example that begins each chapter. Each chapter concludes with a summary focused on how researchers should select which method to use when and a summary of the material covered in the chapter. The chapters have motivating examples that serve as an anchor for discussion of the featured methods. The focus of the chapters is intended to be conceptual (as opposed to highly technical) to make the text useful to individuals with a wide array of statistical backgrounds. More technical material is included in each chapter for interested readers and instructors who would like to focus more attention on it. Instructors will be able to use this book as a main text in introductory, intermediate, and some specialized statistics courses such as nonparametric and robust methods. In addition, researchers and data analysts from a wide array of disciplines will be able to use this book as a primary resource in their work.Key features of this book are as follows:It presents a full range of statistical options available to researchers for major problems faced in the social and life sciences, health care, and business.It explains how to evaluate a dataset to determine which statistical approach (e.g., standard parametric, nonparametric, robust, Bayesian) may be optimal.It features a website containing datasets and computer code. 374 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the integration of Generative Artificial Intelligence (GenAI), such as ChatGPT, into educational practices and research methodologies. With the potential to transform traditional learning environments, this book addresses both the opportunities and challenges that come with leveraging GenAI for enhancing teaching and learning experiences.This comprehensive guide delves into multiple aspects of GenAI in education. It covers critical topics such as project-based learning (PBL), personalized learning through AI, AI-driven student assessment, and the role of AI in special education. Furthermore, it examines ethical considerations, the readiness of students and teachers for AI technologies, and case studies on AI's impact on student outcomes. With insights from educators, researchers, and practitioners from around the globe, the book provides a balanced perspective on both theoretical frameworks and practical implementation of GenAI technologies.Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts. It is an essential reference for anyone interested in staying at the forefront of educational innovation and exploring the future possibilities of AI-empowered learning. 250 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. The book then goes on to describe important machine learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical machine learning has been discussed. An outline of deep learning models is also included. The use cases, self-assessments, exercises, activities, numerical problems, and projects associated with each chapter aims to concretize the understanding. FeaturesConcepts of Machine learning from basics to algorithms to implementation Comparison of Different Machine Learning Algorithms - When to use them & Why - for Application developers and ResearchersMachine Learning from an Application Perspective - General & Machine learning for Healthcare, Education, Business, Engineering ApplicationsEthics of machine learning including Bias, Fairness, Trust, ResponsibilityBasics of Deep learning, important deep learning models and applicationsPlenty of objective questions, Use Cases, Activity and Project based Learning ExercisesThe book aims to make the thinking of applications and problems in terms of machine learning possible for graduate students, researchers and professionals so that they can formulate the problems, prepare data, decide features, select appropriate machine learning algorithms and do appropriate performance evaluation. 480 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Copula additive distributional regression enables the joint modeling of multiple outcomes, an essential aspect of many real-world research problems. This book provides an accessible overview of this modeling approach, with a particular focus on its implementation in the GJRM R package, developed by the authors. The emphasis is on bivariate responses with empirical illustrations drawn from diverse fields such as health and medicine, epidemiology, economics and social sciences.Key Features:Provides a comprehensive overview of joint regression modeling for multiple outcomes, with a focus on bivariate responsesOffers a practical approach with real-world examples from various fieldsDemonstrates the implementation of all the discussed models using the GJRM package in RIncludes supplementary resources such as data accessible through the GJRM.data package in R and additional code available on the authors' webpagesThis book is designed for graduate students, researchers, practitioners and analysts who are interested in using copula additive distributional regression for the joint modeling of bivariate outcomes. The methodology is accessible to readers with a basic understanding of core statistics and probability, regression, copula modeling and R. 154 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an introduction to the field of information technology (IT) suitable for any student of an IT-related field or IT professional. Coverage includes such IT topics as IT careers, computer hardware (central processing unit [CPU], memory, input/output [I/O], storage, computer network devices), software (operating systems, applications software, programming), network protocols, binary numbers and Boolean logic, information security and a look at both Windows and Linux. Many of these topics are covered in depth with numerous examples presented throughout the text.New to this edition are chapters on new trends in technology, including block chain, quantum computing and artificial intelligence, and the negative impact of computer usage, including how computer usage impacts our health, e-waste and concerns over Internet usage. The material on Windows and Linux has been updated and refined. Some content has been removed from the book to be made available as online supplemental readings.Ancillary content for students and readers of the book is available from the textbook's companion website, including a lab manual, lecture notes, supplemental readings and chapter reviews. For instructors, there is an instructor's manual including answers to the chapter review questions and a testbank. 702 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the impact of technology on Human Resource (HR) practices and how organisations can effectively incorporate progress in technology to improve HR processes. It provides a comprehensive overview of the various advancements that are transforming HR, including artificial intelligence (AI), machine learning, big data, and blockchain. Digital HR provides real-world examples, case studies, and best practices that illustrate how organisations are successfully leveraging technology to improve their HR management (HRM) processes and outcomes. This practical orientation makes the book valuable for professionals and scholars who are interested or have actionable insights to implement technologies for HR transformation and performance improvement in their organisations.Offers case studies, best practices, and real-world examples of successful and unsuccessful HR transformation initiativesIllustrates the technological progress transforming HR, including AI, machine learning, big data, and blockchain -- HR Software SolutionsDiscusses challenges associated with adapting and implementing them in the various practices and processes of the HRMStudies different applications of AI and machine learning in HR, including talent acquisition, performance management, and employee engagement end-to-end technology implementation in their domainThis book is intended for professionals, managers, and executives seeking an understanding of the impact of technology on the workforce and how they can leverage it to achieve their goals. It will also be useful for scholars and researchers interested in digital HR from the fields of computer science, business management, human resources, and HRM. 228 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer and subsampling techniques, seamlessly integrating these scalable methods into a broad spectrum of econometric models.In addition to its focus on big data, the book introduces novel concepts within traditional statistics, such as the summation, subtraction, and multiplication of conjugate distributions. These arithmetic operators conceptualize pseudo data in the conjugate prior, sufficient statistics that determine the likelihood, and the posterior as a balance between data and prior information, adding an intriguing dimension to Bayesian analysis. This book also offers a deep dive into Bayesian computation. Given the intricacies of floating-point representation of real numbers, computer programs can sometimes yield unexpected or theoretically impossible results. Drawing from his experience as a senior statistical software developer, the author shares valuable strategies for designing numerically stable algorithms.The book is an essential resource for a diverse audience: graduate students seeking foundational knowledge in Bayesian econometric models, early-career statisticians eager to explore cutting-edge advancements in scalable Bayesian methods, data analysts struggling with out-of-memory challenges in large datasets, and statistical software users and developers striving to program with efficiency and numerical stability. 488 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -How do we conquer uncertainty, insecurity, and anxiety over college mathematics You can do it, and this book can help.The author provides various techniques, learning options, and pathways. Students can overcome the barriers that thwart success in mathematics when they prepare for a positive start in college and lay the foundation for success.Based on interviews with over 50 students, the book develops approaches to address the struggles and success these students shared. Then the author took these ideas and experiences and built a process for overcoming and achieving when studying not only the mathematics many colleges and universities require as a minimum for graduation, but more to encourage reluctant students to look forward to their mathematics courses and even learn to embrace additional ones.Success breeds interest, and interest breeds success. Math anxiety is based on test anxiety. The book provides proven strategies for conquering test anxiety. It will help find ways to interest students in succeeding in mathematics and assist instructors on pathways to promote student interest, while helping them to overcome the psychological barriers they face. Finally, the author shares how math is employed in the 'real world,' examining how both STEM and non- STEM students can employ math in their lives and careers. Ultimately, both students and teachers of mathematics will better understand and appreciate the difficulties and how to attack these difficulties to achieve success in college mathematics. 246 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -R for Health Technology Assessment discusses the use of proper statistical software, specifically R, to perform the whole pipeline of analytic modelling in health technology assessment (HTA). It has been designed with the objective of establishing the use of R as the standard tool for HTA amongst academics, industry practitioners and regulators. It covers a lot of ground, starting with the necessary background in HTA, R and statistical inference, followed by various modelling tools, ranging from missing data, survival analysis and decision trees, through to multistate models and discrete event simulation. The methods are all illustrated with many detailed worked examples and case studies using real data, and there are detailed descriptions of the code and processes.Key Features:Introductory chapters on the various topics of the book, including HTA, R and statistical inferenceA wide range of common analytical tools used in HTA, from modelling for individual-level data, missing data, survival analysis, decision-modelling and network meta-analysisMore advanced and increasingly popular tools, such as those for population adjustment, discrete event simulation and the use of web applications as front-end for the overall statistical modellingMany detailed worked examples and case studies using real data to illustrate the methodologyFully integrated R code gives detailed guidance on implementation of the techniquesSupplemented by a website with additional resources, including annotated code and dataThis text is primarily aimed at modellers working in the field of HTA, regulators and reviewers of reimbursement dossiers and cost-effectiveness analyses. It also complements a wide range of undergraduate and graduate programmes in HTA, health and public health economics, as well as academic researchers in the field of statistical modelling for HTA. 452 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This reference book explores the integration of cognitive computing technologies in the automotive industry to enhance smart transportation systems. It focuses on how AI, machine learning, and data analytics can improve vehicle automation, safety, and efficiency. Automation can support driverless vehicle transportation and bridge the gap between manual control and fully automated navigation systems. The text introduces a discussion on numerous applications of cognitive computing in smart transportation, motion planning, situation awareness, dynamic driving, adaptive behavior, human intent measurement, and predictive analysis.Key Features:- Discusses basic concepts and architecture of cognitive computing for vehicular systems.- Presents technologies to measure human intent for vehicle safety, including emergency management systems (EMS).- Covers the perception and localization processes in autonomous driving through LiDAR, GPS, and Stereo vision data with critical decision making and simulation results.- Elucidates the application of motion planning for smart transportation.- Covers visual perception technologies for advanced driver assistance systems (ADAS) through deep learning.The text is primarily written for graduate students, academic researchers, and professionals in the fields of computer science, electrical engineering, automotive engineering, and civil engineering. 182 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical simulation has become a cornerstone in statistical research and applications. The aim of Representative Points of Statistical Distributions: Applications in Statistical Inference is to present a comprehensive exploration of various methods for statistical simulation and resampling, focusing on consistency and efficiency. It covers a range of representative points (RPs) - Monte Carlo (MC) RPs, quasi-Monte Carlo (QMC) RPs, and mean square error (MSE) RPs - and their applications, and includes a collection of recent developments in the field. It also explores other types of representative points and the corresponding approximate distributions, and delves into the realm of statistical simulation by exploring the limitations of traditional MC methods and the innovations brought about by the bootstrap method. In addition, the text introduces other kinds of representative points and the corresponding approximate distributions such as QMC and MSE methods.FeaturesComprehensive exploration of statistical simulation methods: provides a deep dive into MC methods and bootstrap methods, and introduces other kinds of RPs and the corresponding approximate distributions, such as QMC and MSE methods.Emphasis on consistency and efficiency: highlights the advantages of these methods in terms of consistency and efficiency, addressing the slow convergence rate of classical statistical simulation.Collection of recent developments: brings together the latest advancements in the field of statistical simulation, keeping readers up to date with the most current research.Practical applications: includes numerous practical applications of various types of RPs (MC-RPs, QMC-RPs, and MSE-RPs) in statistical inference and simulation.Educational resource: can serve as a textbook for postgraduate students, a reference book for undergraduate students, and a valuable resource for professionals in various fields.The book serves as a valuable resource for postgraduate students, researchers, and practitioners in statistics, mathematics, and other quantitative fields. 340 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Since the first edition of 'Data Science and Analytics with Python' we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widespread adoption of the book, not just among business practitioners, but also by universities as a key textbook. In response to this growth, this new edition builds upon the success of its predecessor, expanding several sections, updating the code to reflect the latest advancements in Python libraries and modules, and addressing the ever-evolving landscape of generative AI (GenAI).This updated edition ensures that the examples and exercises remain relevant by incorporating the latest features of popular libraries such as Scikit-learn, pandas, and Numpy. Additionally, new sections delve into cutting-edge topics like generative AI, reflecting the advancements and the expanding role these technologies play. This edition also addresses crucial issues of explainability, transparency, and fairness in AI. These topics have rightly gained significant attention in recent years. As AI integrates more deeply into various aspects of our lives, understanding and mitigating biases, ensuring fairness, and maintaining transparency become paramount. This book provides comprehensive coverage of these topics, offering practical insights and guidance for data scientists and analysts.Designed as a practical companion for data analysts and budding data scientists, this book assumes a working knowledge of programming and statistical modelling but aims to guide readers deeper into the wonders of data analytics and machine learning. Maintaining the book's structure, each chapter stands alone as much as possible, allowing readers to use it as a reference as well as a textbook. Whether revisiting fundamental concepts or diving into new, advanced topics, this book offers something valuable for every reader. 516 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Meta-analysis is the statistical combination of previously conducted studies, often from summary statistics but sometimes with individual participant data. It is widespread in life sciences and is gaining popularity in economics and beyond. In many real-life meta-analyses, challenges in the source information, such as unreported statistics or biases, can be incorporated using Bayesian methods. Bayesian Meta-Analysis: A Practical Introduction provides an approachable introduction for researchers who are new to Bayes, meta-analysis, or both. There is an emphasis on hands-on learning using a variety of software packages.Key FeaturesIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistical researchersExamples of basic meta-analyses in seven different software alternatives: BUGS, JAGS, Stan, bayesmeta, brms, Stata, and JASPPractical advice on extracting information from studies, eliciting expert opinions, managing project decisions, and writing up findingsDiscussion of specific problems, including publication bias, unreported statistics, and a mixture of study designs, with code examplesAccompanying online blog and forum, with all code and data from the book, plus more translations to different softwareThis book aims to bridge the gap between the researcher who wants to carry out tailored meta-analysis and the techniques they need, which have previously been available only in mathematically or computationally demanding publications. 330 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the intersection of legal frameworks, healthcare innovation, and computational intelligence, shedding light on how emerging technologies like artificial intelligence (AI) and machine learning (ML) are reshaping the medical landscape. It presents real- life challenges such as patient privacy, data security, and compliance issues in smart healthcare by delving into the associated ethical and regulatory implications. Comprising the concepts of predictive analytics, regulatory compliance algorithms, and legal decision- making processes, this book offers a roadmap for stakeholders to navigate the evolving landscape of healthcare innovation responsibly and ethically.Features:Investigates how artificial intelligence supports legal decision- making processes in smart healthcare, addressing ethical and accountability concernsDemonstrates the use of smart contracts and automation tools powered by computational intelligence to streamline legal processes and ensure compliance in smart healthcare initiativesFocuses on managing healthcare data within legal frameworks, emphasizing the role of computational intelligence's in ensuring privacy and securityExamines how computational intelligence enables predictive analytics models to anticipate legal challenges and compliance issues in smart healthcareHighlights the development and implementation of computational algorithms for navigating evolving legal frameworks in healthcareThis reference book is a useful resource for scholars and researchers working on smart healthcare. 186 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Traditionally speaking, those who study the function theory of one complex variable spend little or no time thinking about several complex variables. Conversely, experts in the function theory of several complex variables do not consider one complex variable. One complex variable is the inspiration and testing ground for several complex variables, and several complex variables are the natural generalization of one complex variable.The authors' thesis here is that these two subject areas have much in common. These subject areas can gain a lot by learning to communicate with each other. These two fields are logically connected, and each can be used to explain and put the other into context. This is the purpose of this book.The point of view and the methodology of the two subject areas are quite different. One complex variable is an aspect of traditional hard analysis. Several complex variables are more like algebraic geometry and differential equations, with some differential geometry thrown in. The authors intend to create a marriage of the function theory of one complex variable and the function theory of several complex variables, leading to a new and productive dialogue between the two disciplines.The hope is for this book to foster and develop this miscegenation in a manner that leads to new collaborations and developments. There is much fertile ground here, and this book aims to breathe new life into it. 410 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents contemporary mathematical concepts and techniques including theories of summability, fixed point and non-absolute integration and applications, providing an overview of recent developments in the foundations of the field as well as its applications. It discusses the recent results of double sequence spaces as the four-dimensional forward difference matrix in double sequence spaces, several new fixed point on Hadamard type fractional integral and differential operator related to the qualitative properties of solutions like, existence and uniqueness, stability, continuous dependence, controllability, oscillations, etc. It also includes several new areas of nonabsolute integration theory are introduced and their applications to other fields. This reference text is for researchers, academics, and professionals in the field of pure and applied mathematics.Covers recent research breakthroughs in this field offering new approaches and methods for both theoretical exploration and practical applicationPresents insights into functional analytic methods in summability, absolute and strong summability, direct theorems on summability, special and general summability methods, and their applicationsHighlights fixed-point theory's application to real-world problems and offers solutions to various complex challengesIntroduces new areas of non-absolute integration theory, such as the Henstock-Kurzweil integral and generalized Riemann integralDiscusses sequence spaces and functional analysis, including the exploration of double sequence spaces and the four-dimensional forward difference matrix, offering valuable contributions to ongoing research 330 pp. Englisch.