Accession Number : AD0755148

Title :   The Fisher Information Function and Design of Experiments for Estimation in Non-Linear Statistical Models.

Descriptive Note : Technical rept.,

Corporate Author : CASE WESTERN RESERVE UNIV CLEVELAND OHIO DEPT OF MATHEMATICS AND STATISTICS

Personal Author(s) : Zacks,S.

Report Date : 15 JAN 1973

Pagination or Media Count : 24

Abstract : The problem of designing experiments for estimating parameters of nonlinear models is studied in a Bayesian framework, with the objective of maximizing the anticipated Fisher information. The theoretical set-up for optimal two-stage designs is formulated. Optimal designs for reliability attribute life testing experiments are derived. A non-Bayesian measure of efficiency of the designs is defined and computed. Sequential group testing experiments which are epsilon-most efficient are presented. (Author)

Descriptors :   (*EXPERIMENTAL DESIGN, STATISTICAL ANALYSIS), STATISTICAL DISTRIBUTIONS, SEQUENTIAL ANALYSIS, MATHEMATICAL MODELS, RELIABILITY, TABLES(DATA), NONLINEAR SYSTEMS

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE