Title :
Unbiasing procedures for the Weibull distribution? Be careful
Author :
Montanari, G.C. ; Mazzanti, G. ; Cacciari, M. ; Fothergill, J.C.
Author_Institution :
Istituto di Elettrotecnica Ind., Bologna Univ., Italy
Abstract :
In this paper, unbiasing procedures for the maximum likelihood method applied to the two-parameter Weibull function are dealt with. The performance of unbiasing methods applied to expected values and point estimates of the Weibull parameters, as well as the way to use the Monte Carlo method for the estimation of the expected values, are discussed. It is shown that the accuracy of the unbiasing methods can be significantly affected by several factors, such as the value of the shape parameter and the estimation of the expected value, and that some methods can be successfully applied to the point estimates of the Weibull parameters
Keywords :
Monte Carlo methods; Weibull distribution; electric breakdown; maximum likelihood estimation; Monte Carlo method; Weibull distribution; maximum likelihood method; point estimates; two-parameter Weibull function; unbiasing procedures; Distributed computing; Maximum likelihood estimation; Parameter estimation; Random number generation; Sampling methods; Shape; Weibull distribution;
Conference_Titel :
Conduction and Breakdown in Solid Dielectrics, 1995. ICSD'95., Proceedings of the 1995 IEEE 5th International Conference on
Conference_Location :
Leicester
Print_ISBN :
0-7803-2040-9
DOI :
10.1109/ICSD.1995.522972