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Adaptive regression

Author: Yadolah Dodge; Jana Jurečková
Publisher: New York : Springer, ©2000.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Since 1757, when Roger Joseph Boscovich addressed the fundamental mathematical problem in determining the parameters which best fits observational equations, a large number of estimation methods has been proposed and developed for linear regression. Four of the commonly used methods are the least absolute deviations, least squares, trimmed least squares, and the M-regression. Each of these methods has its own  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Yadolah Dodge; Jana Jurečková
ISBN: 038798965X 9780387989655
OCLC Number: 42753412
Description: xii, 177 pages ; 24 cm
Contents: 1. Prologue --
2. Regression methods --
3. Adaptive LAD + LS regression --
4. Adaptive LAD + TLS regression --
5. Adaptive LAD + M-regression --
6. Adaptive LS + TLS regression --
7. Adaptive choice of trimming --
8. Adaptive combination of tests --
9. Computational aspects --
10. Some asymptotic results --
11. Epilogue.
Responsibility: Yadolah Dodge, Jana Jurečková.
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Abstract:

While there have been a large number of estimation methods proposed and developed for linear regression, none has proved good for all purposes. This text focuses on the construction of an adaptive  Read more...

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From the reviews:MATHEMATICAL REVIEWS"Despite its high level, the book is extremely readable and gives new insight into the problem of estimation in the linear regression model."

 
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