Skip to main content
Book cover

Adaptive Regression

  • Book
  • © 2000

Overview

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 89.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

Keywords

About this book

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.

Reviews

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."

Authors and Affiliations

  • University of Neuchâtel, Neuchâtel, Switzerland

    Yadolah Dodge

  • Department of Probability and Statistics, Charles University, Prague, Czech Republic

    Jana Jurečková

Bibliographic Information

Publish with us