Number of Samples Needed to Obtain Desired Bayesion Confidence Intervals for a Proportion.

Abstract

This thesis analyzes a Bayesian method for determining the number of samples that are needed to produce a desired confidence interval size for a proportion or probability. It compares the necessary sample size from Bayesian methods with that from classical methods and develops computer programs relating sample size and confidence interval size when a Beta prior distribution is employed. Tables and graphs are developed to assist an experimenter in determining the number of samples needed to produce desired confidence in this estimate of a proportion or probability. Keywords: Theses; Decision making; Statistical data.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1988
Accession Number
ADA195087

Entities

People

  • Robert B. Manion

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Bayes Theorem
  • Bayesian Networks
  • Computer Programs
  • Computers
  • Distribution Functions
  • Naval Air Stations
  • Observation
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Procedures (Computers)
  • Random Variables
  • Reliability
  • Sampling
  • Security
  • Statistical Samples

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms