Title :
Estimation of scale parameters for two exponential distributions [reliability theory]
Author_Institution :
Dept. of Math., Lamar Univ., Beaumont, TX, USA
fDate :
4/1/1990 12:00:00 AM
Abstract :
The scale parameter of the exponential distribution is estimated using conditional specification. When there are two censored samples available for estimating the scale parameter, a preliminary test is usually used to determine whether to pool the samples or to use the individual minimum-variance unbiased estimator. This latter estimator (usual preliminary-test estimator) is studied. The optimum levels of significance and their corresponding critical values for the preliminary test are obtained on the basis of the minimax regret criterion. A preliminary-test shrinkage estimator is proposed, and the optimum values of its shrinkage estimator is proposed, and the optimum values of its shrinkage coefficients are obtained. For a mean-square-error criterion of goodness of estimation, the preliminary-test shrinkage estimator is better than the usual preliminary-test estimator
Keywords :
parameter estimation; reliability theory; statistical analysis; conditional specification; exponential distributions; mean-square-error criterion; minimax regret criterion; minimum-variance unbiased estimator; parameter estimation; preliminary-test shrinkage estimator; reliability; scale parameter; shrinkage coefficients; shrinkage estimator; usual preliminary-test estimator; Exponential distribution; Life testing; Mean square error methods; Minimax techniques; Out of order; Parameter estimation; Reliability theory; State estimation; Statistical distributions;
Journal_Title :
Reliability, IEEE Transactions on