Chapman and hall crc jun 2014 (4 risultati)

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is intended for anyone whose job involves writing formal documentation. It is aimed at non-native speakers of English, but should also be of use for native speakers who have no training in technical writing.Technical writing is a skill that you can learn and this book outlines some simple ideas for writing clear documentation that will reflect well on your company, its image and its brand.The book has four parts:Structure and Content: Through examples, you will learn best practices in writing the various sections of a manual and what content to include.Clear Unambiguous English: You will learn how to write short clear sentences and paragraphs whose meaning will be immediately clear to the reader.Layout and Order Information: Here you will find guidelines on style issues, e.g., headings, bullets, punctuation and capitalization.Typical Grammar and Vocabulary Mistakes: This section is divided alphabetically and covers grammatical and vocabulary issues that are typical of user manuals. 192 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.New to the Third EditionThree new chapters on quantile regression, missing values, and Bayesian inferenceExtra material in the logistic regression chapter that describes a regression model for ordered categorical response variablesAdditional exercisesMore detailed explanations of R codeNew section in each chapter summarizing the results of the analyses Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics coursesWhether you're a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results. 452 pp. Englisch.…

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.See What's New in the Second Edition:Increased emphasis on more idiomatic R provides a grounding in the functionality of base R.Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible.Use of knitr package makes code easier to read and therefore easier to reason about.Additional information on computer-intensive approaches motivates the traditional approach.Updated examples and data make the information current and topical.The book has an accompanying package, UsingR, available from CRAN, R's repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package='UsingR')), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text.The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing. 522 pp. Englisch.…

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book is as self-contained as possible, assuming no prior knowledge of linear algebra.The authors first address the rudimentary mechanics of linear systems using Gaussian elimination and the resulting decompositions. They introduce Euclidean vector spaces using less abstract concepts and make connections to systems of linear equations wherever possible. After illustrating the importance of the rank of a matrix, they discuss complementary subspaces, oblique projectors, orthogonality, orthogonal projections and projectors, and orthogonal reduction.The text then shows how the theoretical concepts developed are handy in analyzing solutions for linear systems. The authors also explain how determinants are useful for characterizing and deriving properties concerning matrices and linear systems. They then cover eigenvalues, eigenvectors, singular value decomposition, Jordan decomposition (including a proof), quadratic forms, and Kronecker and Hadamard products. The book concludes with accessible treatments of advanced topics, such as linear iterative systems, convergence of matrices, more general vector spaces, linear transformations, and Hilbert spaces. 582 pp. Englisch.…