Linear Models and Generalizations Least Squares and Alternatives /

Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the graduate level and as an accompanying text for courses in o...

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Bibliographic Details
Main Authors: Rao, C. Radhakrishna (Author), Shalabh (Author), Toutenburg, Helge (Author), Heumann, Christian (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Edition:Third Extended Edition.
Series:Springer Series in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • The Simple Linear Regression Model
  • The Multiple Linear Regression Model and Its Extensions
  • The Generalized Linear Regression Model
  • Exact and Stochastic Linear Restrictions
  • Prediction in the Generalized Regression Model
  • Sensitivity Analysis
  • Analysis of Incomplete Data Sets
  • Robust Regression
  • Models for Categorical Response Variables.