Bayesian Optimal Designs for Surveillance Procedures in Attribute Life Testing.

Abstract

Design of experiments for estimation of parameters in non-linear models is studied in a Bayesian framework, with the objective of maximization of the anticipated Fisher information. Two stage optimal designs are proposed in attribute life situations. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1980
Accession Number
ADA095723

Entities

People

  • Mohammad Kazim Khan
  • S. Zacks

Organizations

  • Virginia Tech

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Assays
  • Bayesian Networks
  • Bioassay
  • Contracts
  • Data Science
  • Distribution Functions
  • Equations
  • Experimental Design
  • Information Science
  • Inspection
  • Models
  • Probability
  • Random Variables
  • Sequences
  • Statistics
  • Virginia

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference