BOUNDED PROBABILITY PROPERTIES OF KOLMOGOROVSMIRNOV AND SIMILAR STATISTICS FOR DISCRETE DATA,

Abstract

A somewhat general class of situations, that include Kolmogorov-Smirnov type results as special cases, is considered. These situations are required to have uniquely determined probability properties when the sample values used are from continuous populations of any nature. If the populations sampled are discrete, however, these probability values are not uniquely determined. It is shown that the values for the continuous case represent bounds for the values that occur in any discrete case. The method used to show that these bound relations hold consists in noting that any discrete date situation can be interpreted as a situation involving the grouping of continuous data. Then bound relationships are established between the values of probabilities for the grouped data situations and the corresponding ungrouped data situations, which are the situations considered for the case of continuous data. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 24, 1963
Accession Number
AD0422674

Entities

People

  • John E. Walsh

Organizations

  • System Development Corporation

Tags

DTIC Thesaurus Topics

  • Data Science
  • Information Science
  • Mathematics
  • Probability
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.