Linear models / Shayle R. Searle and Marvin H. J. Grubber.
Material type:
TextSeries: Wiley series in probablity and statisticsPublication details: New Jersey : John Wiley, ©2017.Edition: 2nd edDescription: xxv, 656 pages : illustrations ; 24 cmISBN: - 9781118952832
- 000SA.062 23 Se439
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.062 Se439 (Browse shelf(Opens below)) | Available | 137742 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| 000SA.062 H688 Richly parameterized linear models : | 000SA.062 L744 Linear models of optimal test design / | 000SA.062 R215 Linear models and generalizations | 000SA.062 Se439 Linear models / | 000SA.062 Se443 Linear model and hypothesis : a general unifying theory / | 000SA.062 Se476 Linear models an integrated approach | 000SA.062 W516 Linear mixed models : |
Includes bibliographical references and indexes.
1. Generalized inverse matrices --
2. Distributions and quadratic forms --
3. Regression for the full-rank model --
4. Introducing linear models: regression on dummy variables --
5. Models not of full rank --
6. Two elementary models --
7. The two-way crossed classification --
8. Some other analyses --
9. Introduction to variance components --
10. Methods of estimating variance3 components from unbalanced data.
Provides an easy-to-understand guide to statistical linear models and its uses in data analysis This book defines a broad spectrum of statistical linear models that is useful in the analysis of data. Considerable rewriting was done to make the book more reader friendly than the first edition.
There are no comments on this title.
