Title :
One-Order-Statistic Estimation of the Scale Parameters of Weibull Populations
Author :
Moore, A.H. ; Harter, H.L.
Author_Institution :
Air Force Institute of Technology and Aerospace Lab., Wright-Patterson Air Force Base, Dayton, Ohio.
Abstract :
This paper calculates the minimum-variance unbiased one-order-statistic estimator of the parameter of a one-parameter exponential population. The estimator is given for N = 2(1)20 along with its efficiency with respect to an unbiased M-order-statistic estimator for a sample of N items which is truncated after M items have failed. Furthermore, it is shown that by using the estimator for exponential populations one can obtain a consistent estimator for the scale parameter of Weibull populations with any known shape parameter and with ## location parameter zero. A section on the use of the tabled data and a numerical example are included.
Keywords :
Density functional theory; Life testing; Maximum likelihood estimation; Parameter estimation; Shape; Statistics;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1965.5214884