Extreme Sample Censoring Problems with Multivariate Data - II.

Abstract

Indirect censoring is defined as the effect on observed variables of censoring on unobserved variables. Methods of testing for indirect censoring are discussed, and exemplified, using a bivariate Farlie-Gumbel-Morgenstern distribution. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1979
Accession Number
ADA073563

Entities

People

  • Norman L. Johnson

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Data Science
  • Demography
  • Information Science
  • Military Research
  • New York
  • Normal Distribution
  • North Carolina
  • Order Statistics
  • Probability
  • Probability Density Functions
  • Sampling
  • Standards
  • Statistical Samples
  • Statistical Sampling
  • Statistics
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Statistical inference.