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Linear models / Shayle R. Searle and Marvin H. J. Grubber.

By: Contributor(s): Material type: TextTextSeries: Wiley series in probablity and statisticsPublication details: New Jersey : John Wiley, ©2017.Edition: 2nd edDescription: xxv, 656 pages : illustrations ; 24 cmISBN:
  • 9781118952832
Subject(s): DDC classification:
  • 000SA.062 23 Se439
Contents:
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.
Summary: 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.
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Holdings
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
Total holds: 0

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.

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