EDF Statistics for Goodness-of-Fit: Part 1

Abstract

The paper deals with EDF statistics, a class of goodness-of-fit statistics. They are based on a comparison of F(x) with the empirical distribution function (F sub n)(x). Recent work has now made it possible to use these statistics very easily when F(x) is continuous and completely specified and also for two very important practical situations - when the distribution tested is normal, or exponential, with parameters to be estimated. Power studies suggest they should be brought into wider use. The report concentrates on a practical guide to the use of EDF statistics; specifically, those usually called D(+), D(-), D, W(2), V, U(2), A.

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Document Details

Document Type
Technical Report
Publication Date
Jan 03, 1972
Accession Number
AD0737653

Entities

People

  • M. A. Stephens

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Classification
  • Contractors
  • Contracts
  • Data Science
  • Discrete Distribution
  • Distribution Functions
  • Information Science
  • Military Research
  • Monte Carlo Method
  • Normal Distribution
  • Regression Analysis
  • Security
  • Statistics
  • Two Dimensional
  • United States
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Systems Analysis and Design