Analysis of Variance, Design, and Regression: Applied Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)

Christensen, Ronald

ISBN 10: 0412062917 / ISBN 13: 9780412062919

Published by Chapman and Hall/CRC (edition 1), 1996

About this Item

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Seller Inventory # 0412062917-11-1

Bibliographic Details

• Title: Analysis of Variance, Design, and Regression: Applied Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
• Publisher: Chapman and Hall/CRC (edition 1)
• Publication Date: 1996
• Language: English
• ISBN 10: 0412062917
• ISBN 13: 9780412062919
• Binding: Hardcover
• Edition: 1.
• Condition: Good

About this title

Synopsis

This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but also addressing basic ideas in experimental design and count data. The book has four connecting themes: similarity of inferential procedures, balanced one-way analysis of variance, comparison of models, and checking assumptions. Most inferential procedures are based on identifying a scalar parameter of interest, estimating that parameter, obtaining the standard error of the estimate, and identifying the appropriate reference distribution. Given these items, the inferential procedures are identical for various parameters. Balanced one-way analysis of variance has a simple, intuitive interpretation in terms of comparing the sample variance of the group means with the mean of the sample variance for each group. All balanced analysis of variance problems are considered in terms of computing sample variances for various group means. Comparing different models provides a structure for examining both balanced and unbalanced analysis of variance problems and regression problems. Checking assumptions is presented as a crucial part of every statistical analysis. Examples using real data from a wide variety of fields are used to motivate theory. Christensen consistently examines residual plots and presents alternative analyses using different transformation and case deletions. Detailed examination of interactions, three factor analysis of variance, and a split-plot design with four factors are included. The numerous exercises emphasize analysis of real data. Senior undergraduate and graduate students in statistics and graduate students in other disciplines using analysis of variance, design of experiments, or regression analysis will find this book useful.

Review

"written in a clear and lucid stylean excellent candidate for a beginning level graduate textbook on statistical methodsa useful reference for practitioners." -Zentralblatt f]r Mathematik