Add to ORKGThe problem of the estimation of ordered scale parameters in two Weibull populations is considered when their shape parameters are as-sumed to be known and unequal. Mixed estimators for ordered scale parameters are obtained and their risks and biases are compared with the maximum likelihood estimators with the help of a simulation, and shown to improve upon them
Best linear unbiased estimation of the location and scale parameters of the Weibull distribution is ...
In this paper, we consider the problem of one-sided conditional and unconditional interval estimatio...
In this paper quite efficient large sample estimation procedures are derived for jointly estimating ...
A mixture of Weibull distribution, involving two shape parameters, two scale parameters, and one pro...
Usually, the parameters of a Weibull distribution are estimated by maximum likelihood estimation. To...
In this article, we propose weighted likelihood estimator (WLE) that assigns zero weights to observa...
Abstract: This paper deals with the estimation of R P(Y X) = < where X and Y are two independent ...
We consider the problem of estimating the scale parameter of the Weibull distribution based on multi...
In this paper we consider three measures of overlap, namely Matusia's measure ρ, Morisita's measure ...
The Weibull distribution is widely used in lifetime data analysis. For example, in studies on the ti...
Estimation of Weibull distribution shape and scale parameters is accomplished through use of symmetr...
In this paper, we use the setup proposed by Balakrishnan and Ag-garwala (2000) to compute approximat...
The Weibull distribution is frequently applied in various fields, ranging from economy, business, bi...
Weibull distributions are widely used in reliability and survival analysis. In this paper, different...
We obtained estimation results concerning a randomly censored sample from a two- parameter Weibull ...
Best linear unbiased estimation of the location and scale parameters of the Weibull distribution is ...
In this paper, we consider the problem of one-sided conditional and unconditional interval estimatio...
In this paper quite efficient large sample estimation procedures are derived for jointly estimating ...
A mixture of Weibull distribution, involving two shape parameters, two scale parameters, and one pro...
Usually, the parameters of a Weibull distribution are estimated by maximum likelihood estimation. To...
In this article, we propose weighted likelihood estimator (WLE) that assigns zero weights to observa...
Abstract: This paper deals with the estimation of R P(Y X) = < where X and Y are two independent ...
We consider the problem of estimating the scale parameter of the Weibull distribution based on multi...
In this paper we consider three measures of overlap, namely Matusia's measure ρ, Morisita's measure ...
The Weibull distribution is widely used in lifetime data analysis. For example, in studies on the ti...
Estimation of Weibull distribution shape and scale parameters is accomplished through use of symmetr...
In this paper, we use the setup proposed by Balakrishnan and Ag-garwala (2000) to compute approximat...
The Weibull distribution is frequently applied in various fields, ranging from economy, business, bi...
Weibull distributions are widely used in reliability and survival analysis. In this paper, different...
We obtained estimation results concerning a randomly censored sample from a two- parameter Weibull ...
Best linear unbiased estimation of the location and scale parameters of the Weibull distribution is ...
In this paper, we consider the problem of one-sided conditional and unconditional interval estimatio...
In this paper quite efficient large sample estimation procedures are derived for jointly estimating ...