The Likelihood Displacement: A Unifying Principle for Influence Measures.

Abstract

The young field of statistical diagnostics has produced an array of competing statistics for measuring the influence of individual cases. The identification of influential cases seem generally accepted as an important part of linear regression analysis. Although there are many diagnostic methods available for this, two specific diagnostic statistics--d sub i as proprosed by Cook, and DFFITS sub i as proposed by Belsley, Kuh and Welsch (1980)--appear to be used most frequently since they are available in many widely distributed regression packages. For further progress and a deeper understanding of available methodology, larger perspectives seem necessary.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA149456

Entities

People

  • D. Pena
  • R. D. Cook
  • S. Weisberg

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Contracts
  • Data Analysis
  • Data Science
  • Displacement
  • Equations
  • Identification
  • Information Science
  • Linear Regression Analysis
  • Mathematics
  • Minnesota
  • New York
  • Observation
  • Regression Analysis
  • Statistical Analysis
  • Statistics
  • United States
  • Universities

Fields of Study

  • Mathematics

Readers

  • Aerospace Test and Evaluation
  • Military History of the United States in the 20th Century.
  • Statistical inference.