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Home > Linear Models and Generalizations: Least Squares and Alternatives > Robust Regression
Linear Models and Generalizations: Least Squares and Alternatives |
C. Radhakrishna Rao; Helge Toutenburg; Shalabh; Christian Heumann
Springer Berlin Heidelberg
Linear Models and Generalizations: Least Squares and Alternatives
Robust Regression
ARI Id

1664346307739_1308800

Access

Not Available Free

Pages

393-409

DOI

10.1007/978-3-540-74227-2_9

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-74227-2_9

Table of Contents of Book
Showing 1 to 12 of 12 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xix
Introduction
1-5
The Simple Linear Regression Model
7-31
The Multiple Linear Regression Model and Its Extensions
33-141
The Generalized Linear Regression Model
143-221
Exact and Stochastic Linear Restrictions
223-269
Prediction in the Generalized Regression Model
271-319
Sensitivity Analysis
321-356
Analysis of Incomplete Data Sets
357-392
Robust Regression
393-409
Models for Categorical Response Variables
411-487
Back Matter
489-572
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 12 of 12 entries
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