On the Half-Sample Method for Goodness-of-Fit

Abstract

Two interesting processes, related to the empirical distribution function, have been pointed out by Rao (1972) and by Durbin (1973). The second, in particular, leads to the half-sample method, an elegant and simple technique for dealing with unknown parameters in goodness-of-fit testing, without the necessity of new tables of percentage points for each distribution tested. To those who have spent some effort in producing such tables, it is natural to wonder whether this effort has been in vain. This paper shows that the answer is no.

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Document Details

Document Type
Technical Report
Publication Date
Jul 12, 1978
Accession Number
ADA060853

Entities

People

  • Michael A. Stephens

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Data Science
  • Distribution Functions
  • Distribution Theory
  • Goodness Of Fit Tests
  • Information Science
  • Mathematics
  • Military Research
  • Monte Carlo Method
  • Normal Distribution
  • Normality
  • Security
  • Standards
  • Statistical Algorithms
  • Statistics
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Systems Analysis and Design