Accession Number : ADA293949

Title :   Kalman Filter Models for Extrapolations in Dose-Response Experiments and Accelerated Life-Tests.

Descriptive Note : Technical rept.,

Corporate Author : GEORGE WASHINGTON UNIV WASHINGTON DC SCHOOL OF ENGINEERING AND APPLIED SCIENC E

Personal Author(s) : Singpurwalla, Nozer D.

PDF Url : ADA293949

Report Date : 09 SEP 1988

Pagination or Media Count : 10

Abstract : Kalman-Filter models with Gaussian innovations provide a useful and easy to implement tool for inference from dose-response experiments and accelerated life-tests. Their main advantage stems from the fact that the system equation of such models allows for the uncertainty and possible changes in a proposed dose-response relationship. This is in contrast to the currently used approaches wherein there is an implicit commitment to the validity of an assumed relationship. In this paper, we overview our recent work in the above general area and suggest avenues for future research. (AN)

Descriptors :   *MATHEMATICAL MODELS, *KALMAN FILTERING, ALGORITHMS, SCENARIOS, UNCERTAINTY, WEIBULL DENSITY FUNCTIONS, EXPERIMENTAL DATA, STOCHASTIC PROCESSES, DAMAGE ASSESSMENT, DOSAGE, RESPONSE(BIOLOGY), LIFE TESTS, ACCELERATED TESTING, NORMAL DISTRIBUTION, EXTRAPOLATION.

Subject Categories : Statistics and Probability
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE