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A course in linear models

  • Anant M. Kshirsagar

3.60

5 ratings

This book would serve as a suitable text for a course in linear models. The Kshirsagar book is specifically designed for a one-semester course, and one would have to move quickly to cover every- thing in that time. This book covers such standard topics as full- and non-full-rank models, the Gauss—Mar- kov theorem, distribution of estimators, distribution of quadratic forms, idempotent matrices, estimability, generalized inverses, confidence re- gions, tests Of linear hypotheses, orthogonal polynomials, one-way and two-way classifications, and analysis of covariance.

Genres

  • Linear models (Statistics)
  • Regression analysis
  • Mathematical Statistics
  • Statistical inference
  • Analysis of variance
  • Matrix theory
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About the author

  • Anant M. Kshirsagar

    3.60

    5 ratings · 3 works

Editions

  • Edition cover

    M. Dekker

    1983