Add to ORKGThe purpose of this study is to estimate unknown parameters, reliability, the hazard rate, and the reversed hazard rate function of the inverted Kumaraswamy distribution based on progressively type-II censoring samples. Maximum likelihood estimators are obtained. The Bayesian estimation is studied under quadratic (squared error) and general entropy loss functions using Lindley’s approximation.Non-informative prior distributions are used for the parameters. Based on a Monte Carlo simulation study, the statistical performances of Bayes estimators based on quadratic and general entropy loss functions are compared between various estimates
In this paper, we consider generalized inverted exponential distribution which is capable of modelin...
A progressively type-II right censored sample has been examined in this paper for the inference abou...
Generalized progressive hybrid censored mechanisms have been proposed to reduce the test duration an...
The present study deals with the estimation procedure for the parameter, reliability and hazard func...
Abstract In this paper, we study non-Bayesian and Bayesian estimation of parameters for the Kumarasw...
Abstract: In this paper, we produced a study in Estimation for parameters of the Kumaraswamy distrib...
In this paper, we discuss the robustness of bayesian estimation for the exponentiated inverted Weibu...
In this paper we develop approximate Bayes estimators of the parameters,reliability, and hazard rate...
[[abstract]]We consider the problem of estimating unknown parameters, reliability function and hazar...
In this paper, the shape parameters, reliability and hazard rate functions of the inverted Kumaraswa...
Abstract: In this paper, we consider generalized inverted exponential (GIE) model. Three issues repr...
[[abstract]]We consider estimation of unknown parameters of a two-parameter Kumaraswamy distribution...
In this paper, we consider the classical and Bayesian estimation of the parameters, reliability func...
Modeling and analyzing lifetime data is an important aspect of statistical work in various scientifi...
In this paper, Bayesian and E-Bayesian estimation of unknown parameters of Inverse Lomax probability...
In this paper, we consider generalized inverted exponential distribution which is capable of modelin...
A progressively type-II right censored sample has been examined in this paper for the inference abou...
Generalized progressive hybrid censored mechanisms have been proposed to reduce the test duration an...
The present study deals with the estimation procedure for the parameter, reliability and hazard func...
Abstract In this paper, we study non-Bayesian and Bayesian estimation of parameters for the Kumarasw...
Abstract: In this paper, we produced a study in Estimation for parameters of the Kumaraswamy distrib...
In this paper, we discuss the robustness of bayesian estimation for the exponentiated inverted Weibu...
In this paper we develop approximate Bayes estimators of the parameters,reliability, and hazard rate...
[[abstract]]We consider the problem of estimating unknown parameters, reliability function and hazar...
In this paper, the shape parameters, reliability and hazard rate functions of the inverted Kumaraswa...
Abstract: In this paper, we consider generalized inverted exponential (GIE) model. Three issues repr...
[[abstract]]We consider estimation of unknown parameters of a two-parameter Kumaraswamy distribution...
In this paper, we consider the classical and Bayesian estimation of the parameters, reliability func...
Modeling and analyzing lifetime data is an important aspect of statistical work in various scientifi...
In this paper, Bayesian and E-Bayesian estimation of unknown parameters of Inverse Lomax probability...
In this paper, we consider generalized inverted exponential distribution which is capable of modelin...
A progressively type-II right censored sample has been examined in this paper for the inference abou...
Generalized progressive hybrid censored mechanisms have been proposed to reduce the test duration an...