{"product_id":"linear-models-in-statistics-2e-hardback-9780471754985","title":"Linear Models in Statistics (Hardback) 9780471754985","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eLinear Models in Statistics\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eAlvin C. Rencher (Author), G. Bruce Schaalje (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780471754985, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 8 February 2008\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e688 pages, Drawings: 4 B\u0026amp;W, 0 Color; Tables: 0 B\u0026amp;W, 0 Color; Graphs: 20 B\u0026amp;W, 0 Color\u003cbr\u003e23.9 x 16.5 x 4.3 cm, 1.111 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\"This indeed clearly written book will do great service for advanced undergraduate and also for PhD students.\" (\u003ci\u003eInternational Statistical Review,\u003c\/i\u003e Dec 2008)\u003c\/p\u003e \u003cp\u003e\"This well-written book represents various topics on linear models with great clarity in an easy-to-understand style.\" (\u003ci\u003eCHOICE,\u003c\/i\u003e Aug 2008)\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThe essential introduction to the theory and application of linear models—now in a valuable new edition\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSince most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eLinear Models in Statistics,\u003c\/i\u003e Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models.\u003c\/p\u003e \u003cp\u003eThis modern \u003ci\u003eSecond Edition\u003c\/i\u003e features:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eNew chapters on Bayesian linear models as well as random and mixed linear models\u003c\/li\u003e \u003cli\u003eExpanded discussion of two-way models with empty cells\u003c\/li\u003e \u003cli\u003eAdditional sections on the geometry of least squares\u003c\/li\u003e \u003cli\u003eUpdated coverage of simultaneous inference\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eLinear Model in Statistics,\u003c\/i\u003e Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface.  \u003cp\u003e1. Introduction.\u003c\/p\u003e \u003cp\u003e2. Matrix Algebra.\u003c\/p\u003e \u003cp\u003e3. Random Vectors and Matrices.\u003c\/p\u003e \u003cp\u003e4. Multivariate Normal Distribution.\u003c\/p\u003e \u003cp\u003e5. Distribution of Quadratic Forms in y.\u003c\/p\u003e \u003cp\u003e6. Simple Linear Regression.\u003c\/p\u003e \u003cp\u003e7. Multiple Regression: Estimation.\u003c\/p\u003e \u003cp\u003e8. Multiple Regression: tests of Hypotheses and Confidence Intervals.\u003c\/p\u003e \u003cp\u003e9. Multiple Regression: Model Validation and Diagnostics.\u003c\/p\u003e \u003cp\u003e10. Multiple Regression: random x's.\u003c\/p\u003e \u003cp\u003e11. Multiple Regression: Bayesian Inference.\u003c\/p\u003e \u003cp\u003e12. Analysis-of-Variance Models.\u003c\/p\u003e \u003cp\u003e13. One-Way Analysis-of-Variance: balanced Case.\u003c\/p\u003e \u003cp\u003e14. Two-Way Analysis-of Variance: Balanced Case.\u003c\/p\u003e \u003cp\u003e15. Analysis-of-Variance: The Cell Means Model for Unbalanced Data.\u003c\/p\u003e \u003cp\u003e16. Analysis-of-Covariance.\u003c\/p\u003e \u003cp\u003e17. Linear Mixed Models.\u003c\/p\u003e \u003cp\u003e18. Additional Models.\u003c\/p\u003e \u003cp\u003eAppendix A. Answers and Hits to the Problems.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Interscience","offers":[{"title":"Brand New","offer_id":52516264804632,"sku":"9780471754985","price":148.57,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780471754985.jpg?v=1786681076","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/linear-models-in-statistics-2e-hardback-9780471754985","provider":"Freshly Printed Books","version":"1.0","type":"link"}