ASYMPTOTIC PROPERTIES OF BAYESIAN SINGLE SAMPLING PLANS

Abstract

The model considered is based on a differentiable prior distribution, a general loss function, an operating characteristic written as an Edgeworth expansion, and sampling costs expressible as a polynomial in the sample size. Asymptotic expressions for the Bayesian single sampling plan are derived and it is shown how previously known results may be found as special cases of the present one. The efficiency of non-optimum plans is discussed.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1966
Accession Number
AD0635451

Entities

People

  • A. Hald

Organizations

  • University of Copenhagen

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Asymptotic Series
  • Binomials
  • Data Science
  • Distribution Functions
  • Efficiency
  • Equations
  • Inspection
  • Manufacturing
  • Military Research
  • Military Standards
  • Normal Distribution
  • Rejection
  • Sampling
  • Statistics
  • United States
  • United States Government
  • Universities

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Regression Analysis.
  • Statistical inference.

Technology Areas

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