The problem of estimation of an unknown shape parameter under the sample drawn from the gamma distribution, where the scale parameter is also unknown, is considered. A new estimator, called the maximum likelihood scale invariant estimator, is proposed. It is established that the mean square error of this estimator is less than that of the usual maximum likelihood estimator. The asymptotics of the mean square error of the new estimator is also obtained
Abstract. This paper considers a nonlinear regression model, in which the dependent variable has the...
Abstract. This paper considers a nonlinear regression model, in which the dependent variable has the...
ABSTRACT. This paper considers the Bayesian point estimation of the scale parameter for a two-parame...
The problem of estimation of an unknown shape parameter under the sample drawn from the gamma distr...
This papers presents the comparison between maximum likelihood estimator(MLE) and Bayes estimator of...
AbstractBounds for the maximum likelihood estimator (MLE) of the shape parameter of the two-paramete...
[[abstract]]In this paper, the more convenient estimators of both parameters of the gamma distributi...
It is well-known that maximum likelihood (ML) estimators of the two parame- ters in a Gamma distribu...
In this investigation, we consider Bayesian and Non-Bayesian estimation problems of unknown scale pa...
<p>The presence of a nuisance parameter may often perturb the quality of the likelihood-based infere...
This paper discusses new approaches to parameter estimation of gamma distribution based on represent...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
This paper considers the Bayesian point estimation of the scale parameter for a two-parameter gamma ...
This paper studies the MLE of the scale parameter of the gamma distribution based on data mixed from...
<p>Note that for <i>k = 1</i>, θ corresponds to the average value of the attenuation coefficient <i>...
Abstract. This paper considers a nonlinear regression model, in which the dependent variable has the...
Abstract. This paper considers a nonlinear regression model, in which the dependent variable has the...
ABSTRACT. This paper considers the Bayesian point estimation of the scale parameter for a two-parame...
The problem of estimation of an unknown shape parameter under the sample drawn from the gamma distr...
This papers presents the comparison between maximum likelihood estimator(MLE) and Bayes estimator of...
AbstractBounds for the maximum likelihood estimator (MLE) of the shape parameter of the two-paramete...
[[abstract]]In this paper, the more convenient estimators of both parameters of the gamma distributi...
It is well-known that maximum likelihood (ML) estimators of the two parame- ters in a Gamma distribu...
In this investigation, we consider Bayesian and Non-Bayesian estimation problems of unknown scale pa...
<p>The presence of a nuisance parameter may often perturb the quality of the likelihood-based infere...
This paper discusses new approaches to parameter estimation of gamma distribution based on represent...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
This paper considers the Bayesian point estimation of the scale parameter for a two-parameter gamma ...
This paper studies the MLE of the scale parameter of the gamma distribution based on data mixed from...
<p>Note that for <i>k = 1</i>, θ corresponds to the average value of the attenuation coefficient <i>...
Abstract. This paper considers a nonlinear regression model, in which the dependent variable has the...
Abstract. This paper considers a nonlinear regression model, in which the dependent variable has the...
ABSTRACT. This paper considers the Bayesian point estimation of the scale parameter for a two-parame...