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