Inverse Bernoulli Trials with Dependence.

Abstract

A model for inverse sampling with Markov dependence between successive Bernoulli random variables is presented. Sufficient statistics for the model are given along with the joint distribution worked out from the sampling theory of a modified geometric distribution. Simple estimators of the parameters are given which are asymptotically efficient. A uniformly most powerful test of independence is also derived with a null distribution related to the hypergeometric. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1972
Accession Number
AD0756458

Entities

People

  • C. J. Park
  • Jerome H. Klots

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.