02373cam a2200277 i 4500001000700000003002100007005001700028008004100045020002900086040001600115082002400131100002300155245011100178250001100289260003800300300004500338490004700383504006700430505074800497520059201245520012201837650002501959650002601984650003102010650005402041135769ISI Library, Kolkata20150526114315.0130409s2013 njua b 001 0 eng a9781118329504 (hardback) aISI Library00a000SA.062223bH6851 aHocking, Ronald R.10aMethods and applications of linear models :bregression and the analysis of variance /cRonald R. Hocking. a3rd ed aNew Jersey :bJohn Wiley,cc2013. axxiii, 681 p. :billustrations ;c25 cm.0 aWiley series in probability and statistics aIncludes bibliographical references (pages 669-676) and index.0 a1. 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.
a"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"-- a"The objective of this book is to present a discussion and a formal definition of a general class of linear models"-- 0aRegression analysis. 0aAnalysis of variance. 0aLinear models (Statistics) 7aMATHEMATICS / Probability & Statistics / General.