Robust regression : analysis and applications

Bibliographic Information

Robust regression : analysis and applications

edited by Kenneth D. Lawrence, Jeffrey L. Arthur

(Statistics : textbooks and monographs, v. 108)

M. Dekker, c1990

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Note

Includes bibliographical references

Description and Table of Contents

Description

Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weigh. Each observation discusses generalized properties of LP-estimators. It includes an algorithm for identifying outliers using least absolute value criterion, in regression modelling reviews re-descending M-estimators studies Li linear regres

Table of Contents

Part 1 Advances in Robust Regression, Part II Robust Regression Methods, Part III Forecasting and Robust Regression, Index.

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Details
  • NCID
    BA10013410
  • ISBN
    • 0824781295
  • LCCN
    89023760
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York
  • Pages/Volumes
    xiii, 287 p.
  • Size
    24 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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