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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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Main Authors: Rao, C. Radhakrishna. (Author, http://id.loc.gov/vocabulary/relators/aut), Toutenburg, Helge. (http://id.loc.gov/vocabulary/relators/aut), Shalabh. (http://id.loc.gov/vocabulary/relators/aut), Heumann, Christian. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:3rd ed. 2008.
Series:Springer Series in Statistics,
Subjects:
Probabilities.
Statistics .
Economic theory.
Mathematical statistics.
Operations research.
Decision making.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Economic Theory/Quantitative Economics/Mathematical Methods.
Probability and Statistics in Computer Science.
Operations Research/Decision Theory.
Online Access:https://doi.org/10.1007/978-3-540-74227-2
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.

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