Application of Stein and related parametric empirical Bayes estimators to the nuclear plant reliability data system
Technical Report
·
OSTI ID:6926634
This report is the result of a preliminary feasibility study of the applicability of Stein and related parametric empirical Bayes (PEB) estimators to the Nuclear Plant Reliability Data System (NPRDS). A new estimator is derived for the means of several independent Poisson distributions with different sampling times. This estimator is applied to data from NPRDS in an attempt to improve failure rate estimation. Theoretical and Monte Carlo results indicate that the new PEB estimator can perform significantly better than the standard maximum likelihood estimator if the estimation of the individual means can be combined through the loss function or through a parametric class of prior distributions.
- Research Organization:
- Texas Univ., Austin (USA); Idaho National Engineering Lab., Idaho Falls (USA)
- DOE Contract Number:
- AC07-76ID01570
- OSTI ID:
- 6926634
- Report Number(s):
- NUREG/CR-3637; EGG-2295; ON: DE84008979
- Resource Relation:
- Other Information: Portions are illegible in microfiche products
- Country of Publication:
- United States
- Language:
- English
Similar Records
NONPARAMETRIC EMPIRICAL BAYES ESTIMATION THROUGH DECONVOLUTION IN PROBABILISTIC RISK ANALYSIS
Empirical Bayes regionalization techniques for estimation in ground water models
A chi-square goodness-of-fit test for non-identically distributed random variables: with application to empirical Bayes
Conference
·
Fri Sep 01 00:00:00 EDT 2017
·
OSTI ID:6926634
Empirical Bayes regionalization techniques for estimation in ground water models
Miscellaneous
·
Sun Jan 01 00:00:00 EST 1989
·
OSTI ID:6926634
A chi-square goodness-of-fit test for non-identically distributed random variables: with application to empirical Bayes
Technical Report
·
Mon Dec 01 00:00:00 EST 1997
·
OSTI ID:6926634