A Parametric Bootstrap Procedure for Testing Separate Families of Hypotheses.

Abstract

This paper proposes a procedure for testing non-nested families of hypotheses which substitutes raw computing power for asymptotic approximations. Given access to a modern computer, the procedure is practically universally applicable. Examples illustrating its small-sample properties are provided, as are theorems on its asymptotic behavior. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA134533

Entities

People

  • Wei-yin Loh

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computations
  • Computer Simulations
  • Computers
  • Data Science
  • Estimators
  • Hypotheses
  • Information Science
  • Mathematics
  • Probability
  • Simulations
  • Statistical Algorithms
  • Statistical Samples
  • Statistics
  • Theorems
  • United States
  • Universities
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Systems Analysis and Design