Testing for Equiprobability Using a Multi-Nomial or Poisson Sample.

Abstract

The well-known chi-square test is discussed for testing equiprobability when the expected number of observations per cell is not large. The results are used to give a justification for the Poisson Index of Dispersion test of fit for the Poisson distribution. A chi-square type statistic is studied for testing equiprobability and Poisson-fit when the frequencies associated with zero are missing and thus the sample size is unknown. Some applications are discussed in detail where the samples are incomplete. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1976
Accession Number
ADA031971

Entities

People

  • Lars Holst

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Chi Square Test
  • Confidence Limits
  • Data Science
  • Dispersions
  • Frequency
  • Information Science
  • Mathematics
  • Observation
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistics
  • Theorems
  • United States

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.