The Linear Model and Hypothesis A General Unifying Theory /

This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent m...

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Bibliographic Details
Main Author: Seber, George (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Springer Series in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 1.Preliminaries
  • 2. The Linear Hypothesis
  • 3.Estimation
  • 4.Hypothesis Testing
  • 5.Inference Properties
  • 6.Testing Several Hypotheses
  • 7.Enlarging the Model
  • 8.Nonlinear Regression Models
  • 9.Multivariate Models
  • 10.Large Sample Theory: Constraint-Equation Hypotheses
  • 11.Large Sample Theory: Freedom-Equation Hypotheses
  • 12.Multinomial Distribution
  • Appendix
  • Index.