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):

Report Date:

1973-01-15

Pagination or Media Count:

24.0

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

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE