{"product_id":"linear-statistical-models-isbn-9780470231463","title":"Linear Statistical Models","description":"Praise for the First Edition  \u003cp\u003e\"This impressive and eminently readable text . . . [is] a welcome addition to the statistical literature.\"\u003cbr\u003e —The Indian Journal of Statistics\u003c\/p\u003e \u003cp\u003eRevised 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.\u003c\/p\u003e \u003cp\u003eThis 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eAn introduction to R and S-Plus® with many examples\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMultiple comparison procedures\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eEstimation of quantiles for regression models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eAn emphasis on vector spaces and the corresponding geometry\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eExtensive graphical displays accompany the book's updated descriptions and examples, which can be simulated using R, S-Plus®, and SAS® 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.\u003c\/p\u003e \u003cp\u003eLinear 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.\u003c\/p\u003e \u003cp\u003ePreface vii\u003c\/p\u003e \u003cp\u003e1 Linear Algebra, Projections 1\u003c\/p\u003e \u003cp\u003e2 Random Vectors 51\u003c\/p\u003e \u003cp\u003e3 The Linear Model 83\u003c\/p\u003e \u003cp\u003e4 Fitting of Regression Models 159\u003c\/p\u003e \u003cp\u003e5 Simultaneous Confidence Intervals 257\u003c\/p\u003e \u003cp\u003e6 Two-and Three-Way Analyses of Variance 273\u003c\/p\u003e \u003cp\u003e7 Miscellaneous Other Models 313\u003c\/p\u003e \u003cp\u003e8 Analysis of Frequency Data 347\u003c\/p\u003e \u003cp\u003eThe Statistical Language R 445\u003c\/p\u003e \u003cp\u003eAnswers 450\u003c\/p\u003e \u003cp\u003eIndex 469\u003c\/p\u003e \u003cb\u003eJames H. Stapleton, PhD\u003c\/b\u003e, is Professor Emeritus in the Department of Statistics and Probability at Michigan State University. He is the author of \u003ci\u003eModels for Probability and Statistical Inference: Theory and Applications\u003c\/i\u003e, also published by Wiley.  \u003cb\u003ePraise for the First Edition\u003c\/b\u003e  \u003cp\u003e\"This impressive and eminently readable text . . . [is] a welcome addition to the statistical literature.\"\u003cbr\u003e —The Indian Journal of Statistics\u003c\/p\u003e \u003cp\u003eRevised to reflect the current developments on the topic, \u003ci\u003eLinear Statistical Models, Second Edition\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThis \u003ci\u003eSecond Edition\u003c\/i\u003e follows an \u003ci\u003eintroduction-theorem-proof-examples\u003c\/i\u003e 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eAn introduction to R and S-Plus® with many examples\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMultiple comparison procedures\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eEstimation of quantiles for regression models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eAn emphasis on vector spaces and the corresponding geometry\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eExtensive graphical displays accompany the book's updated descriptions and examples, which can be simulated using R, S-Plus®, and SAS® 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eLinear Statistical Models, Second Edition\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989532360933,"sku":"NP9780470231463","price":166.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470231463.jpg?v=1761784487","url":"https:\/\/k12savings.com\/products\/linear-statistical-models-isbn-9780470231463","provider":"K12savings","version":"1.0","type":"link"}