The maximum likelihood estimator of the Weibull shape parameter can be very biased. An estimator based on the modified profile likelihood is proposed and its properties are studied. It is shown that the new estimator is almost unbiased with relative bias being less than 1 % in most of situations, and it is much more efficient than the regular MLE. The smaller the sample or the heavier of the censoring, the more efficient is the new estimator relative to the regular MLE
The estimation of the common shape parameter across different Weibull populations is an important an...
In this paper, we propose two classes of shrinkage estimators for the shape parameter of the Weibull...
In this paper, unbiasing procedures for the maximum likelihood method applied to the two-parameter W...
Abstract. We obtain adjustments to the profile likelihood function in Weibull regression models with...
Abstract. This paper presents several different adjusted profile likelihoods for the Weibull shape p...
We obtain adjustments to the profile likelihood function in Weibull regression models with and witho...
The estimation of parameters of a Weibull distribution, requiring numerical methods, has been discus...
The biasness problem of the maximum likelihood estimate (MLE) of the common shape parameter of sever...
The technique of unbiasing the maximum likelihood estimates of the scale and shape parameters of the...
(v0.0 released February 2013) A general method for correcting the bias of the maximum likelihood est...
A general method for correcting the bias of the maximum likelihood estimator (MLE) of the common sha...
For the Weibull distribution the maximum likelihood method does not provide an explicit estimator fo...
Abstract: Simple estimators of the Weibull shape parameter and any quantile in uncensored samples ar...
Usually, the parameters of a Weibull distribution are estimated by maximum likelihood estimation. To...
<p>The presence of a nuisance parameter may often perturb the quality of the likelihood-based infere...
The estimation of the common shape parameter across different Weibull populations is an important an...
In this paper, we propose two classes of shrinkage estimators for the shape parameter of the Weibull...
In this paper, unbiasing procedures for the maximum likelihood method applied to the two-parameter W...
Abstract. We obtain adjustments to the profile likelihood function in Weibull regression models with...
Abstract. This paper presents several different adjusted profile likelihoods for the Weibull shape p...
We obtain adjustments to the profile likelihood function in Weibull regression models with and witho...
The estimation of parameters of a Weibull distribution, requiring numerical methods, has been discus...
The biasness problem of the maximum likelihood estimate (MLE) of the common shape parameter of sever...
The technique of unbiasing the maximum likelihood estimates of the scale and shape parameters of the...
(v0.0 released February 2013) A general method for correcting the bias of the maximum likelihood est...
A general method for correcting the bias of the maximum likelihood estimator (MLE) of the common sha...
For the Weibull distribution the maximum likelihood method does not provide an explicit estimator fo...
Abstract: Simple estimators of the Weibull shape parameter and any quantile in uncensored samples ar...
Usually, the parameters of a Weibull distribution are estimated by maximum likelihood estimation. To...
<p>The presence of a nuisance parameter may often perturb the quality of the likelihood-based infere...
The estimation of the common shape parameter across different Weibull populations is an important an...
In this paper, we propose two classes of shrinkage estimators for the shape parameter of the Weibull...
In this paper, unbiasing procedures for the maximum likelihood method applied to the two-parameter W...