Adaptive Regression (Hardcover, 2000 ed.)

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Linear regression is an important area of statistics, theoretical or applied. There have been a large number of estimation methods proposed and developed for linear regression. Each has its own competitive edge but none is good for all purposes. This manuscript focuses on construction of an adaptive combination of two estimation methods. The purpose of such adaptive methods is to help users make an objective choice and to combine desirable properties of two estimators.

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Product Description

Linear regression is an important area of statistics, theoretical or applied. There have been a large number of estimation methods proposed and developed for linear regression. Each has its own competitive edge but none is good for all purposes. This manuscript focuses on construction of an adaptive combination of two estimation methods. The purpose of such adaptive methods is to help users make an objective choice and to combine desirable properties of two estimators.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Release date

April 2000

Availability

Expected to ship within 12 - 17 working days

First published

2000

Authors

,

Dimensions

235 x 155 x 12mm (L x W x T)

Format

Hardcover

Pages

177

Edition

2000 ed.

ISBN-13

978-0-387-98965-5

Barcode

9780387989655

Categories

LSN

0-387-98965-X



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