A course in linear models

Anant M. Kshirsagar

About this book

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.

Subjects

  • analysis of variance
  • linear models
  • linear models (statistics)
  • mathematical statistics
  • matrix theory
  • regression analysis
  • statistical inference