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Innovations in Multivariate Statistical Modeling: Navigating Theoretical and Multidisciplinary Domains
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Theory of Ridge Regression Estimators With Applications
Libro 1 di 358: Wiley Series in Probability and StatisticsDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 117,82
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Theory of Ridge Regression Estimation with Applications
Libro 1 di 358: Wiley Series in Probability and StatisticsDa: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 110,25
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Theory of Ridge Regression Estimators With Applications
Libro 1 di 358: Wiley Series in Probability and StatisticsDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 121,13
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Rank-based Methods for Shrinkage and Selection : With Application to Machine Learning
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Rank-based Methods for Shrinkage and Selection : With Application to Machine Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 123,23
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THEORY OF RIDGE REGRESSION ESTIMATION WITH APPLICATIONS
Libro 1 di 358: Wiley Series in Probability and StatisticsDa: Books Puddle, New York, NY, U.S.A.
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Statistical Inference for Models with Multivariate t-Distributed Errors
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2014
ISBN 10: 1118854055 ISBN 13: 9781118854051
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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EUR 129,98
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Aggiungi al carrelloHardback. Condizione: New. This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observationsEmphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematicsContains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topicAddresses linear regression models with non-normal errors with practical real-world examplesUniquely addresses regression models in Student's t-distributed errors and t-modelsSupplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher.
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THEORY OF RIDGE REGRESSION ESTIMATION WITH APPLICATIONS
Libro 1 di 358: Wiley Series in Probability and StatisticsDa: Majestic Books, Hounslow, Regno Unito
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EUR 126,21
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Rank-Based Methods for Shrinkage and Selection: With Application to Machine Learning
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 119,62
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Theory of Ridge Regression Estimators With Applications
Libro 1 di 358: Wiley Series in Probability and StatisticsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 118,70
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Rank-based Methods for Shrinkage and Selection : With Application to Machine Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 119,60
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Theory of Ridge Regression Estimators With Applications
Libro 1 di 358: Wiley Series in Probability and StatisticsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 119,59
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Theory of Ridge Regression Estimation with Applications
Libro 1 di 358: Wiley Series in Probability and StatisticsLingua: Inglese
Editore: John Wiley and Sons Inc, US, 2019
ISBN 10: 1118644611 ISBN 13: 9781118644614
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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EUR 138,61
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Aggiungi al carrelloHardback. Condizione: New. A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of all penalty estimators in a range of standard models that are used in many applied statistical analyses. Written by noted experts in the field, the book contains a thorough introduction to penalty and shrinkage estimation and explores the role that ridge, LASSO, and logistic regression play in the computer intensive area of neural network and big data analysis. Designed to be accessible, the book presents detailed coverage of the basic terminology related to various models such as the location and simple linear models, normal and rank theory-based ridge, LASSO, preliminary test and Stein-type estimators.?The authors also include problem sets to enhance learning. This book is a volume in the Wiley Series in Probability and Statistics series that provides essential and invaluable reading for all statisticians. This important resource: Offers theoretical coverage and computer-intensive applications of the procedures presentedContains solutions and alternate methods for prediction accuracy and selecting model proceduresPresents the first book to focus on ridge regression and unifies past research with current methodologyUses R throughout the text and includes a companion website containing convenient data sets Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation.
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EUR 139,17
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Aggiungi al carrelloCondizione: New. Brand new! Please provide a physical shipping address.
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Statistical Inference for Models with Multivariate t-Distributed Errors
Da: Majestic Books, Hounslow, Regno Unito
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EUR 134,21
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Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 288.
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Statistical Inference for Models with Multivariate t-Distributed Errors
Da: Chiron Media, Wallingford, Regno Unito
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EUR 123,84
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Spedito da Regno Unito a U.S.A.Quantità: 15 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
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Rank-based Methods for Shrinkage and Selection : With Application to Machine Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 124,07
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Rank-Based Methods for Shrinkage and Selection
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2022
ISBN 10: 1119625394 ISBN 13: 9781119625391
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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EUR 145,80
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Aggiungi al carrelloHardback. Condizione: New. Rank-Based Methods for Shrinkage and Selection A practical and hands-on guide to the theory and methodology of statistical estimation based on rank Robust statistics is an important field in contemporary mathematics and applied statistical methods. Rank-Based Methods for Shrinkage and Selection: With Application to Machine Learning describes techniques to produce higher quality data analysis in shrinkage and subset selection to obtain parsimonious models with outlier-free prediction. This book is intended for statisticians, economists, biostatisticians, data scientists and graduate students. Rank-Based Methods for Shrinkage and Selection elaborates on rank-based theory and application in machine learning to robustify the least squares methodology. It also includes: Development of rank theory and application of shrinkage and selectionMethodology for robust data science using penalized rank estimatorsTheory and methods of penalized rank dispersion for ridge, LASSO and EnetTopics include Liu regression, high-dimension, and AR(p)Novel rank-based logistic regression and neural networksProblem sets include R code to demonstrate its use in machine learning.
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Innovations in Multivariate Statistical Modeling (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 142,27
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Statistical Inference for Models with Multivariate t-Distributed Errors
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 288.
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Rank-Based Statistical Theory and Methods for Selection and Shrinkage Estimation 1st Edition
Da: Majestic Books, Hounslow, Regno Unito
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EUR 148,66
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Innovations in Multivariate Statistical Modeling (Hardcover)
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2022
ISBN 10: 3031139704 ISBN 13: 9783031139703
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics.It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty.Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Statistical Inference for Models with Multivariate tDistributed Errors
Da: Revaluation Books, Exeter, Regno Unito
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EUR 146,14
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Aggiungi al carrelloHardcover. Condizione: Brand New. 248 pages. 9.75x6.50x1.00 inches. In Stock.
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Rank-Based Statistical Theory and Methods for Selection and Shrinkage Estimation 1st Edition
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New.
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Innovations in Multivariate Statistical Modeling (eng)
Da: Brook Bookstore, Milano, MI, Italia
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EUR 137,54
Spedizione EUR 27,99
Spedito da Italia a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloCondizione: new.
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Theory of Ridge Regression Estimation with Applications (Hardcover)
Libro 1 di 358: Wiley Series in Probability and StatisticsLingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2019
ISBN 10: 1118644611 ISBN 13: 9781118644614
Da: CitiRetail, Stevenage, Regno Unito
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EUR 131,25
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of all penalty estimators in a range of standard models that are used in many applied statistical analyses. Written by noted experts in the field, the book contains a thorough introduction to penalty and shrinkage estimation and explores the role that ridge, LASSO, and logistic regression play in the computer intensive area of neural network and big data analysis. Designed to be accessible, the book presents detailed coverage of the basic terminology related to various models such as the location and simple linear models, normal and rank theory-based ridge, LASSO, preliminary test and Stein-type estimators.The authors also include problem sets to enhance learning. This book is a volume in the Wiley Series in Probability and Statistics series that provides essential and invaluable reading for all statisticians. This important resource: Offers theoretical coverage and computer-intensive applications of the procedures presentedContains solutions and alternate methods for prediction accuracy and selecting model proceduresPresents the first book to focus on ridge regression and unifies past research with current methodologyUses R throughout the text and includes a companion website containing convenient data sets Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Theory of Ridge Regression Estimation with Applications
Libro 1 di 358: Wiley Series in Probability and StatisticsEUR 127,12
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Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Über den AutorA. K. Md. EHSANES SALEH, PhD, is a Professor Emeritus and Distinguished Research Professor in the school of Mathematics and Statistics, Carleton University, Ottawa, Canada. MOHAMMAD ARASHI, PhD, i.
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Statistical Inference for Models with Multivariate t-Distributed Errors
Da: Mispah books, Redhill, SURRE, Regno Unito
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EUR 153,25
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Aggiungi al carrelloHardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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EUR 130,73
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Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. A. K. Md. Ehsanes Saleh, PhD, is a Professor Emeritus and Distinguished Professor in the School of Mathematics and Statistics, Carleton University, Ottawa, Canada. He is Fellow of IMS, ASA and Honorary member of SSC, Canada.Mohammad Arashi, PhD, is an Assoc.
