Adaptive Regression (Hardcover, 2000 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	April 2000
First published:	2000
Authors:	Yadolah Dodge • Jana Jureckova
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
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-387-98965-X
Barcode:	9780387989655

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