Further Results for Goodness-of-Fit Statistics with Unknown Parameters.

Abstract

The report revises and extends the report Asymptotic results for goodness-of-fit statistics when parameters must be estimated (Stephens, 1970); new theoretical and numerical results are given. In particular the weights are calculated when asymptotic distributions of W squared, U squared, and A (statistics associated with Cramer-von Mises, Watson and Anderson-Darling) are expressed as weighted sums of chi square sub 1 variables. These lead ultimately to the provision of percentage points for W squared, U squared, and A in tests for normality and exponentiality, when parameters must be estimated. The previous report gave only means and variances of asymptotic distributions; some of these are repeated for completeness. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 04, 1971
Accession Number
AD0738857

Entities

People

  • M. A. Stephens

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Normality
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.