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Linear Regression

Jürgen Groß · 2003

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About the book

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.

Book details

Year
2003
Language
English
Publisher
Springer
Editions
2
Pages
394
ISBN
9783540401780

Data source: Wikidata

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