In this paper, estimation of entropy for Weibull distribution based on record values is considered. Maximum likelihood estimation and Bayes estimation for Shannon entropy and Renyi entropy have been considered based on record values. Bayes estimators are obtained using Markov Chain Monte Carlo method. A simulation study is performed to find the performance of the estimators developed in this paper. The inferential procedures developed in this paper have also been illustrated using real data
The estimation of the entropy of a random system or process is of interest in many scientific applic...
We consider the maximum likelihood and Bayesian estimation of parameters and prediction of future re...
The Weibull distribution is a very applicable model for lifetime data. In this paper, we have invest...
Abstract: In this paper, we discuss different estimators of the records Weibull distribution parame...
Entropy is a measure of uncertainty in a random variable which quantifies the expected value of the ...
In this work, we develop a General Entropy loss function (GE) to estimate the reliability function o...
This paper develops a Bayesian analysis in the context of record statistics values from the two-para...
In statistical process control, record schemes are used to reduce the total time on test for the ins...
In this paper, we provide an entropy inference method that is based on an objective Bayesian approac...
In this paper, we consider the Bayes estimators of the unknown parameters of the exponentiated Weibu...
n this paper, we obtained based on record value, the maximum likelihood, minimum variance unbiased a...
Censored data play a pivotal role in life testing experiments since they significantly reduce cost a...
In this paper we derive Sharma-Mittal entropy of record values and analyse some of its important pro...
Recently, progressive hybrid censoring schemes have become quite popular in a life-testing problem a...
In this paper, Bayes estimators of the size parameter of the Weibull distribution are obtained by ta...
The estimation of the entropy of a random system or process is of interest in many scientific applic...
We consider the maximum likelihood and Bayesian estimation of parameters and prediction of future re...
The Weibull distribution is a very applicable model for lifetime data. In this paper, we have invest...
Abstract: In this paper, we discuss different estimators of the records Weibull distribution parame...
Entropy is a measure of uncertainty in a random variable which quantifies the expected value of the ...
In this work, we develop a General Entropy loss function (GE) to estimate the reliability function o...
This paper develops a Bayesian analysis in the context of record statistics values from the two-para...
In statistical process control, record schemes are used to reduce the total time on test for the ins...
In this paper, we provide an entropy inference method that is based on an objective Bayesian approac...
In this paper, we consider the Bayes estimators of the unknown parameters of the exponentiated Weibu...
n this paper, we obtained based on record value, the maximum likelihood, minimum variance unbiased a...
Censored data play a pivotal role in life testing experiments since they significantly reduce cost a...
In this paper we derive Sharma-Mittal entropy of record values and analyse some of its important pro...
Recently, progressive hybrid censoring schemes have become quite popular in a life-testing problem a...
In this paper, Bayes estimators of the size parameter of the Weibull distribution are obtained by ta...
The estimation of the entropy of a random system or process is of interest in many scientific applic...
We consider the maximum likelihood and Bayesian estimation of parameters and prediction of future re...
The Weibull distribution is a very applicable model for lifetime data. In this paper, we have invest...