Linear Models in Statistics by Alvin C. Rencher
Look inside with Google Book Preview
Linear Models in Statistics
By Alvin C. Rencher

Linear Models in Statistics

2nd Revised edition

By (author) See other recent books by Alvin C. Rencher See other recent books by G. Bruce Schaalje
Format: Hardback

Normal Price: $259.95
Your Price: $233.95 AUD, inc. GST
Shipping: $7.95 per order
You Save: $26.00! (10% off normal price)
Plus...earn $11.70 in Boomerang Bucks
Availability: Available Available to Backorder, No Due Date for Supply



Linear Models in Statistics by Alvin C. Rencher

Book Description

The essential introduction to the theory and application of linear models-now in a valuable new edition Since 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. Linear Models in Statistics, 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. This modern Second Edition features:* New chapters on Bayesian linear models as well as random and mixed linear models* Expanded discussion of two-way models with empty cells* Additional sections on the geometry of least squares* Updated coverage of simultaneous inference The 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(r) code for all numerical examples. Linear Model in Statistics, 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.

Buy Linear Models in Statistics book by Alvin C. Rencher from Australia's Online Bookstore, Boomerang Books.


Book Details

ISBN: 9780471754985
ISBN-10: 0471754986
Format: Hardback
(239mm x 165mm x 37mm)
Pages: 688
Imprint: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Publisher: John Wiley and Sons Ltd
Publish Date: 8-Feb-2008
Country of Publication: United Kingdom

Other Editions...


Books By Author Alvin C. Rencher

Methods of Multivariate Analysis by Alvin C. Rencher Methods of Multivariate Analysis, Hardback (July 2012)

This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content.

Multivariate Statistical Inference and Applications by Alvin C. Rencher Multivariate Statistical Inference and Applications, Hardback (January 1998)

The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no background in theoretical statistics.

» View all books by Alvin C. Rencher

Reviews

» Have you read this book? We'd like to know what you think about it - write a review about Linear Models in Statistics book by Alvin C. Rencher and you'll earn 50c in Boomerang Bucks loyalty dollars (you must be a member - it's free to sign up!)

Write a book review


Author Biography - Alvin C. Rencher

Alvin C. Rencher, PhD, is Professor of Statistics at Brigham Young University. Dr. Rencher is a Fellow of the American Statistical Association and the author of Methods of Multivariate Analysis and Multivariate Statistical Inference and Applications, both published by Wiley. G. Bruce Schaalje, PhD, is Professor of Statistics at Brigham Young University. He has authored over 120 journal articles in his areas of research interest, which include mixed linear models, small sample inference, and design of experiments.

Boomerang Bucks close

For every $20 you spend on books, you will receive $1 in Boomerang Bucks loyalty dollars. You can use your Boomerang Bucks as a credit towards a future purchase from Boomerang Books. Note that you must be a Member (free to sign up) and that conditions do apply.

Recent books by Alvin C. Rencher close
Methods of Multivariate Analysis by Alvin C. Rencher
Multivariate Statistical Inference and Applications by Alvin C. Rencher
»
Recent books by G. Bruce Schaalje close
Linear Models in Statistics by G. Bruce Schaalje
»
BoomerangBooks.com.au close