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.
Montanari G.C., Mazzanti G., Cacciari M., Fothergill J.C. (1995). Unbiasing procedures for the Weibull distribution? Be careful!. Piscataway, New Jersey : IEEE.
Unbiasing procedures for the Weibull distribution? Be careful!
Montanari G. C.;Mazzanti G.;
1995
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
