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Adaptive Regression

  • Yadolah Dodge
  • Jana Jurečková

Table of contents

  1. Front Matter
    Pages i-xii
  2. Yadolah Dodge, Jana Jureĉková
    Pages 1-10
  3. Yadolah Dodge, Jana Jureĉková
    Pages 11-36
  4. Yadolah Dodge, Jana Jureĉková
    Pages 37-60
  5. Yadolah Dodge, Jana Jureĉková
    Pages 61-74
  6. Yadolah Dodge, Jana Jureĉková
    Pages 75-86
  7. Yadolah Dodge, Jana Jureĉková
    Pages 87-98
  8. Yadolah Dodge, Jana Jureĉková
    Pages 99-114
  9. Yadolah Dodge, Jana Jureĉková
    Pages 115-124
  10. Yadolah Dodge, Jana Jureĉková
    Pages 125-142
  11. Yadolah Dodge, Jana Jureĉková
    Pages 143-156
  12. Yadolah Dodge, Jana Jureĉková
    Pages 157-158
  13. Back Matter
    Pages 159-177

About this book

Introduction

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.

Keywords

Adaptive Regression Estimator Median Multiple Regression linear optimization linear regression statistics

Authors and affiliations

  • Yadolah Dodge
    • 1
  • Jana Jurečková
    • 2
  1. 1.University of NeuchâtelNeuchâtelSwitzerland
  2. 2.Department of Probability and StatisticsCharles UniversityPragueCzech Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-8766-2
  • Copyright Information Springer-Verlag New York, Inc. 2000
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6464-4
  • Online ISBN 978-1-4419-8766-2
  • Buy this book on publisher's site