Add to ORKGWe obtained estimation results concerning a randomly censored sample from a two- parameter Weibull distribution. The least square method is used to derive the point estimators of the parameters. Consistency and asymptotic normality of these estimators is established. The best asymptotically normal estimators of the parameters, namely, shape parameter ® and scale parameter ѕ, is o®ered
AbstractCensoring models are frequently used in reliability analysis to reduce experimental time. Th...
The complete-data likelihood function of Weibull distribution with multiple change points for IIRCT ...
Usually, the parameters of a Weibull distribution are estimated by maximum likelihood estimation. To...
We obtained estimation results concerning a randomly censored sample from a two- parameter Weibull ...
[[abstract]]We obtained estimation results concerning a progressively type-II censored sample from a...
In this paper, we use the setup proposed by Balakrishnan and Ag-garwala (2000) to compute approximat...
For the Weibull distribution the maximum likelihood method does not provide an explicit estimator fo...
none4siThe paper considers the estimation of the parameters of the 2-parameter Weibull distribution ...
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...
Six techniques (maximum likelihood, least squares regression and the Jacquelin, Ross, White and Bain...
This article deals with the estimation of the parameters and reliability characteristics in inverse ...
This study is concerned with the two-parameter Weibull distribution which has and is still being use...
A method is described for the calculation of the three-parameter Weibull distribution function from ...
The estimation of parameters of a Weibull distribution, requiring numerical methods, has been discus...
AbstractCensoring models are frequently used in reliability analysis to reduce experimental time. Th...
The complete-data likelihood function of Weibull distribution with multiple change points for IIRCT ...
Usually, the parameters of a Weibull distribution are estimated by maximum likelihood estimation. To...
We obtained estimation results concerning a randomly censored sample from a two- parameter Weibull ...
[[abstract]]We obtained estimation results concerning a progressively type-II censored sample from a...
In this paper, we use the setup proposed by Balakrishnan and Ag-garwala (2000) to compute approximat...
For the Weibull distribution the maximum likelihood method does not provide an explicit estimator fo...
none4siThe paper considers the estimation of the parameters of the 2-parameter Weibull distribution ...
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...
Six techniques (maximum likelihood, least squares regression and the Jacquelin, Ross, White and Bain...
This article deals with the estimation of the parameters and reliability characteristics in inverse ...
This study is concerned with the two-parameter Weibull distribution which has and is still being use...
A method is described for the calculation of the three-parameter Weibull distribution function from ...
The estimation of parameters of a Weibull distribution, requiring numerical methods, has been discus...
AbstractCensoring models are frequently used in reliability analysis to reduce experimental time. Th...
The complete-data likelihood function of Weibull distribution with multiple change points for IIRCT ...
Usually, the parameters of a Weibull distribution are estimated by maximum likelihood estimation. To...