Inverse Bernoulli Trials with Dependence.

Abstract

A model for inverse sampling with dependence between successive Bernoulli random variables is presented. Sufficient statistics for the model are given and their joint distribution worked out from the sampling theory of a modified geometric distribution. Simple estimators of the parameters are recommended and shown to be efficient in large samples. A uniformly most powerful test of independence is presented along with an application to some virus research data. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1972
Accession Number
AD0755068

Entities

People

  • C. J. Park
  • J. H. Klotz

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Estimators
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Random Variables
  • Sampling
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.