The Noncentral Chi-Squared Distribution with Zero Degrees of Freedom and Testing for Uniformity.

Abstract

The noncentral chi-squared distribution with zero degrees of freedom is defined as a Poisson mixture of mass at zero together with chi-squared distributions that have even degrees of freedom. Their name is justified by the decomposition of the classical noncentral chi-squared distributions as the sum of a central chi-squared component having the full number of degrees of freedom and an independent noncentral chi-squared component having zero degrees of freedom. The basic properties of this one-parameter family of distributions are given, and they are shown to be useful in the computation of approximate critical values of a test for uniformity. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA068849

Entities

People

  • Andrew F. Siegel

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Computations
  • Data Science
  • Decomposition
  • Distribution Functions
  • Gaussian Distributions
  • Information Science
  • Mathematics
  • New York
  • Normal Distribution
  • North Carolina
  • Probability
  • Probability Density Functions
  • Random Variables
  • Statistics
  • United States
  • Wisconsin

Fields of Study

  • Mathematics
  • Physics

Readers

  • Statistical inference.