Goodness-of-fit test statistics that dominate the Kolmogorov statistics

Robert H. Berk, Douglas H. Jones

Research output: Contribution to journalArticlepeer-review

73 Scopus citations

Abstract

Two statistics are proposed for the simple goodness-of-fit problem. These are derived from a general principle for combining dependent test statistics that has been discussed elsewhere by the authors. It is shown that these statistics are relatively optimal in the sense of Bahadur efficiency and consequently, are more efficient than any weighted Kolmogorov statistic at every alternative. A curious pathology occurs: Under certain alternatives, the sequence of statistics has a Bahadur efficacy or exact slope only in the weak sense of convergence in law.

Original languageEnglish (US)
Pages (from-to)47-59
Number of pages13
JournalZeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete
Volume47
Issue number1
DOIs
StatePublished - Jan 1979
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Analysis
  • Statistics and Probability
  • General Mathematics

Fingerprint

Dive into the research topics of 'Goodness-of-fit test statistics that dominate the Kolmogorov statistics'. Together they form a unique fingerprint.

Cite this