Percentage Points and Power Calculations for Outlier Tests in a Regression Situation.

Abstract

The usefulness of an extra sum of squares statistic Q sub K for detecting K outliers has been discussed in previous papers in te context of two-way tables. That work is extended here to straight line regression situations arising from and motivated by a specific set of research data. Percentage points for the appropriate test statistics are obtained by simulation, approximations for these percentage points are suggested, and power calculations are made for various designs and outlier situations. Correct determination of K and position(s) of the outlier(s) appear to be important in influencing power.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1982
Accession Number
ADA124369

Entities

People

  • Camil Fuchs
  • Norman Richard Draper

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Animals
  • Cells
  • Classification
  • Contracts
  • Data Analysis
  • Data Science
  • Detection
  • Diseases And Disorders
  • Information Science
  • Laboratory Animals
  • Mathematics
  • Probability
  • Simulations
  • Statistics
  • United States
  • Universities
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Theoretical Analysis.