DocumentCode :
1353679
Title :
Bayes Estimation of the Reliability Function of Normal Distribution
Author :
Sinha, S.K.
Author_Institution :
S. K. Sinha; Dept. of Statistics; University of Manitoba; Winnipeg, Manitoba, R3T 2N2 CANADA.
Issue :
4
fYear :
1985
Firstpage :
360
Lastpage :
362
Abstract :
Bayes estimates of the survivor function of the s-normal distribution are obtained using the predictive distribution and some recent results on Bayes approximations due to Lindley. Monte Carlo simulation was used. These estimates have smaller rms error than that of their maximum likelihood counterparts. Except for large samples, the exact estimators based on the predictive distribution perform better than the Lindley approximate estimators.
Keywords :
Art; Error analysis; Gaussian distribution; Life estimation; Life testing; Maximum likelihood estimation; Reliability theory; State estimation; Statistical analysis; Statistical distributions; Jeffreys prior; Lindley approximation; Maximum likelihood estimate; Posterior mean; Predictive distribution; Square-error of estimate;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.1985.5222193
Filename :
5222193
Link To Document :
بازگشت