Linear Regression
1 edition
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Word Count
98,500 words, Guess
Page Count
394 pages
Physical Format
Hardcover
Identifiers
- Open LibraryOL9056899M
- ISBN-139783540401780
- ISBN-103540401784
- OCLC Control Number52417979
- Library of Congress Control Number2003054287
and 2 more
- LibraryThing5164864
- Goodreads1854954
Classifications
- LCCQA278.2 .G76 2003
Description
The book covers the basic theory of linear regression models and presents a comprehensive survey of different estimation techniques as alternatives and complements to least squares estimation. The relationship between different estimators is clearly described and categories of estimators are worked out in detail. Proofs are given for the most relevant results, and the presented methods are illustrated with the help of numerical examples and graphics. Special emphasis is laid on the practicability, and possible applications are discussed. The book is rounded off by an introduction to the basics of decision theory and an appendix on matrix algebra.
First Sentence
A short description of the linear regression model and its representation in matrix notation is given.
Subjects
Other Editions
- Linear Regression
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