TY - BOOK
AU - Hocking,Ronald R.
TI - Methods and applications of linear models: regression and the analysis of variance
T2 - Wiley series in probability and statistics
SN - 9781118329504 (hardback)
U1 - 000SA.062 23
PY - 2013///
CY - New Jersey
PB - John Wiley
KW - Regression analysis
KW - Analysis of variance
KW - Linear models (Statistics)
KW - MATHEMATICS / Probability & Statistics / General
N1 - Includes bibliographical references (pages 669-676) and index; 1. Introduction to linear models--
2. Regression on functions of one variable--
3. Transforming the data--
4. Regression on functions of several variables--
5. Collinearity in multiple linear regression--
6. Influential observations in multiple linear regression--
7. Polynomial models and qualitative predictors--
8. Additional topics--
9. Classification models I: Introduction--
10. The mathematical theory of linear models--
11. Classification models II: Multiple crossed and nested factors--
12. Mixed models I: The AOV method with blanced data--
13. Mixed models II: The AVE method with balanced data--
14. Mixed models III: Unbalanced data--
15. Simultaneous inference: Tests and confidence intervals--
Appendices--
References--
Index
N2 - "The new edition of this "essential desktop reference book. [that] should definitely be on your bookshelf" (Technometrics) features a newly reorganized approach to linear regression that promotes the understanding of theory and models concurrently, featuring newly-developed topics in the field and the use of software applications. It includes numerous exercises; graphics and computations developed using JMP software; a new chapter on recent developments with the distribution of linear and quadratic forms; and new topical coverage of least squares, the cell means model, and more"--; "The objective of this book is to present a discussion and a formal definition of a general class of linear models"--
ER -