Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”


xxiii, 681 p. : illustrations ; 25 cm. - (Wiley series in probability and statistics ) Content notes : 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--
Analysis of variance. Linear models (Statistics) MATHEMATICS / Probability & Statistics / General.

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