Articles liés à Linear Statistical Models
Synopsis
Praise for the First Edition
"This impressive and eminently readable text . . . [is] a welcome addition to the statistical literature."
--The Indian Journal of Statistics
Revised to reflect the current developments on the topic, Linear Statistical Models, Second Edition provides an up-to-date approach to various statistical model concepts. The book includes clear discussions that illustrate key concepts in an accessible and interesting format while incorporating the most modern software applications.
This Second Edition follows an introduction-theorem-proof-examples format that allows for easier comprehension of how to use the methods and recognize the associated assumptions and limits. In addition to discussions on the methods of random vectors, multiple regression techniques, simultaneous confidence intervals, and analysis of frequency data, new topics such as mixed models and curve fitting of models have been added to thoroughly update and modernize the book. Additional topical coverage includes:
-
An introduction to R and S-Plus(R) with many examples
-
Multiple comparison procedures
-
Estimation of quantiles for regression models
-
An emphasis on vector spaces and the corresponding geometry
Extensive graphical displays accompany the book's updated descriptions and examples, which can be simulated using R, S-Plus(R), and SAS(R) code. Problems at the end of each chapter allow readers to test their understanding of the presented concepts, and additional data sets are available via the book's FTP site.
Linear Statistical Models, Second Edition is an excellent book for courses on linear models at the upper-undergraduate and graduate levels. It also serves as a comprehensive reference for statisticians, engineers, and scientists who apply multiple regression or analysis of variance in their everyday work.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
James H. Stapleton, PhD, is Professor Emeritus in the Department of Statistics and Probability at Michigan State University. He is the author of Models for Probability and Statistical Inference: Theory and Applications, also published by Wiley.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Linear Statistical Models
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Wiley, 2009
ISBN 10 : 0470231467
ISBN 13 : 9780470231463
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Linear Statistical Models, second edition
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Wiley, 2009
ISBN 10 : 0470231467
ISBN 13 : 9780470231463
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Hardcover. Etat : As New. No Jacket. 2nd Edition. This is a fine, as new, hardcover second edition copy in a blue pictorial binding, no DJ. 474 pages plus tables. Photos on request. N° de réf. du vendeur 105817
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Linear Statistical Models
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John Wiley & Sons, 2009
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ISBN 13 : 9780470231463
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Etat : New. James H. Stapleton, PhD, is Professor Emeritus in the Department of Statistics and Probability at Michigan State University. He is the author of Models for Probability and Statistical Inference: Theory and Applications, also published by Wiley.Praise fo. N° de réf. du vendeur 446912031
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Linear Statistical Models
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Linear Statistical Models
Edité par
Wiley, 2009
ISBN 10 : 0470231467
ISBN 13 : 9780470231463
Ancien ou d'occasion
Couverture rigide
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Linear Statistical Models
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ISBN 13 : 9780470231463
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Couverture rigide
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Linear Statistical Models
Edité par
John Wiley & Sons, Limited, 2009
ISBN 10 : 0470231467
ISBN 13 : 9780470231463
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Buch. Etat : Neu. Neuware - Praise for the First Edition'This impressive and eminently readable text . . . [is] a welcome addition to the statistical literature.'--The Indian Journal of StatisticsRevised to reflect the current developments on the topic, Linear Statistical Models, Second Edition provides an up-to-date approach to various statistical model concepts. The book includes clear discussions that illustrate key concepts in an accessible and interesting format while incorporating the most modern software applications.This Second Edition follows an introduction-theorem-proof-examples format that allows for easier comprehension of how to use the methods and recognize the associated assumptions and limits. In addition to discussions on the methods of random vectors, multiple regression techniques, simultaneous confidence intervals, and analysis of frequency data, new topics such as mixed models and curve fitting of models have been added to thoroughly update and modernize the book. Additional topical coverage includes:\* An introduction to R and S-Plus(r) with many examples\* Multiple comparison procedures\* Estimation of quantiles for regression models\* An emphasis on vector spaces and the corresponding geometryExtensive graphical displays accompany the book's updated descriptions and examples, which can be simulated using R, S-Plus(r), and SAS(r) code. Problems at the end of each chapter allow readers to test their understanding of the presented concepts, and additional data sets are available via the book's FTP site.Linear Statistical Models, Second Edition is an excellent book for courses on linear models at the upper-undergraduate and graduate levels. It also serves as a comprehensive reference for statisticians, engineers, and scientists who apply multiple regression or analysis of variance in their everyday work. N° de réf. du vendeur 9780470231463
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