A Method of Approximating Percentile Points of Highly Skewed, Two Parameter Beta Distributions.

Abstract

An approximation formula is derived which provides a simplified and efficient method of calculating the alpha th percentile point of a two parameter beta function when the two parameters are known. A specific application is presented by using the formula to compute the lower 100(1-alpha)% Bayesian confidence limit for the reliability of a component when the prior distribution of that reliability is known to be beta with parameters a' and b'. The posterior distribution is then determined by mission testing n items and recording the number of successes, s. This distribution is known to be beta with parameters a and b, where a = a' + s and b = b' + n - s. Therefore, the formula can be utilized to determine the alpha th percentile point of this posterior distribution which by definition is the lower 100(1-alpha)% confidence limit for the reliability of the component. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1971
Accession Number
AD0721232

Entities

People

  • Thornton Boyd

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Confidence Limits
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Reliability

Readers

  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference