Accession Number : ADA293944

Title :   Accelerated Life Tests That Maximize Shannon Information,

Corporate Author : GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR RELIABILITY AND RISK ANALYSIS

Personal Author(s) : Polson, Nick ; Singpurwalla, Nozer D. ; Verdinelli, Isabella

PDF Url : ADA293944

Report Date : 1988

Pagination or Media Count : 22

Abstract : The current literature on accelerated life tests emphasizes issues of inference and extrapolation under a given design, rather than the optimal design of an accelerated test. In this expository paper, we outline a framework for a coherent approach for the conduct of accelerated tests. Our approach is based on the Bayesian paradigm for experimental designs under linear models and involves the specification of a utility function. For the latter we adopt Shannon Information between predictive densities. The optimal design is then selected via the principle of maximum expected utility. We illustrate the approach with some special cases. (MM)

Descriptors :   *BAYES THEOREM, *LIFE TESTS, *ACCELERATED TESTING, *MEASURE THEORY, PROBABILITY DISTRIBUTION FUNCTIONS, STATISTICAL PROCESSES, DESIGN CRITERIA.

Subject Categories : Statistics and Probability
      Test Facilities, Equipment and Methods

Distribution Statement : APPROVED FOR PUBLIC RELEASE