In this paper, we consider Kumaraswamy-G distributions and derive a Uniformly Minimum Variance Unbiased Estimator (UMVUE) and a Maximum Likelihood Estimator (MLE) of the two measures of reliability, namely R(t) = P(X > t) and P = P(X > Y) under Type II censoring scheme and sampling scheme of Bartholomew (1963). We also develop interval estimates of the reliability measures. A comparative study of the different methods of point estimation has been conducted on the basis of simulation studies. An analysis of a real data set has been presented for illustration purposes
A procedure is given for obtaining a random width confidence interval for the largest reliability of...
In this paper, the failure rate function and the shape parameter for the kumaraswamy distribution an...
Athree parameter Burr distribution is considered. Two measures of reliability are discussed. Point a...
Abstract: In this paper, we produced a study in Estimation for parameters of the Kumaraswamy distrib...
Abstract In this paper, we study non-Bayesian and Bayesian estimation of parameters for the Kumarasw...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>t) ...
[[abstract]]We consider estimation of unknown parameters of a two-parameter Kumaraswamy distribution...
Many lifetime distribution models have successfully served as population models for risk analysis an...
A general family of distributions, namely Kumaraswamy generalized family of (Kw-G) distribution, is ...
The purpose of this study is to estimate unknown parameters, reliability, the hazard rate, and the r...
Modeling and analyzing lifetime data is an important aspect of statistical work in various scientifi...
In this paper, generalized progressive hybrid censoring is discussed, while a scheme is designed to ...
In the literature, different estimation procedures are used for inference about {\color{red} Kuma...
The present paper has developed the preliminary test estimators (PTEs) of the model parameter raised...
The estimation of two parameters of the Kumaraswamy distribution is considered under Type II progres...
A procedure is given for obtaining a random width confidence interval for the largest reliability of...
In this paper, the failure rate function and the shape parameter for the kumaraswamy distribution an...
Athree parameter Burr distribution is considered. Two measures of reliability are discussed. Point a...
Abstract: In this paper, we produced a study in Estimation for parameters of the Kumaraswamy distrib...
Abstract In this paper, we study non-Bayesian and Bayesian estimation of parameters for the Kumarasw...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>t) ...
[[abstract]]We consider estimation of unknown parameters of a two-parameter Kumaraswamy distribution...
Many lifetime distribution models have successfully served as population models for risk analysis an...
A general family of distributions, namely Kumaraswamy generalized family of (Kw-G) distribution, is ...
The purpose of this study is to estimate unknown parameters, reliability, the hazard rate, and the r...
Modeling and analyzing lifetime data is an important aspect of statistical work in various scientifi...
In this paper, generalized progressive hybrid censoring is discussed, while a scheme is designed to ...
In the literature, different estimation procedures are used for inference about {\color{red} Kuma...
The present paper has developed the preliminary test estimators (PTEs) of the model parameter raised...
The estimation of two parameters of the Kumaraswamy distribution is considered under Type II progres...
A procedure is given for obtaining a random width confidence interval for the largest reliability of...
In this paper, the failure rate function and the shape parameter for the kumaraswamy distribution an...
Athree parameter Burr distribution is considered. Two measures of reliability are discussed. Point a...