Add to ORKGIn this paper, based on k-record values from the two parameters of the exponential distribution, the maximum likelihood and Bayes esti-mators for the unknown parameters are obtained. Bayes estimates are obtained based on the squared error loss functions. The occurrence of future k-record values based on observed k-record values from the two parameters of the exponential distribution is considered. Predic-tion, either point or interval, for future k-record values are derived from Bayesian view point. Some non-Bayesian results can be obtained as limiting cases from our results
[[abstract]]In this paper we consider the problems of estimation and prediction when observed data f...
In this paper, we consider the Bayes estimators of the unknown parameters of the exponentiated Weibu...
In this article, a new parameter estimation method, named E-Bayesian method, is considered to obtain...
There are many situations where experimental outcomes are a sequence of record-breaking observations...
In this paper, an extension of record models, well known as k-records, is considered. Bayesian estim...
In this paper, the lower k-record values arising from a two parameter generalized exponential distri...
AbstractIn this paper, the empirical Bayes estimate is derived for the parameter of the exponential ...
Instead of discussing the problem of estimating the unknown parameters for every underlying distribu...
In this paper, the maximum likelihood and Bayesian estimations are developed based on an ordered poo...
This paper develops a Bayesian analysis in the context of record statistics values from the two-para...
Based on record data, the estimation and prediction problems for normal distribution have been inves...
AbstractIn this paper, based on records from the geometric distribution, non-Bayesian and Bayesian e...
The two parameter generalized exponential distribution (which is denoted by GE(α,λ)) was introduced ...
This article discusses Bayesian and non-Bayesian estimations problems of the unknown parameters for ...
In some situations, only observations that are more extreme than the current extreme value are recor...
[[abstract]]In this paper we consider the problems of estimation and prediction when observed data f...
In this paper, we consider the Bayes estimators of the unknown parameters of the exponentiated Weibu...
In this article, a new parameter estimation method, named E-Bayesian method, is considered to obtain...
There are many situations where experimental outcomes are a sequence of record-breaking observations...
In this paper, an extension of record models, well known as k-records, is considered. Bayesian estim...
In this paper, the lower k-record values arising from a two parameter generalized exponential distri...
AbstractIn this paper, the empirical Bayes estimate is derived for the parameter of the exponential ...
Instead of discussing the problem of estimating the unknown parameters for every underlying distribu...
In this paper, the maximum likelihood and Bayesian estimations are developed based on an ordered poo...
This paper develops a Bayesian analysis in the context of record statistics values from the two-para...
Based on record data, the estimation and prediction problems for normal distribution have been inves...
AbstractIn this paper, based on records from the geometric distribution, non-Bayesian and Bayesian e...
The two parameter generalized exponential distribution (which is denoted by GE(α,λ)) was introduced ...
This article discusses Bayesian and non-Bayesian estimations problems of the unknown parameters for ...
In some situations, only observations that are more extreme than the current extreme value are recor...
[[abstract]]In this paper we consider the problems of estimation and prediction when observed data f...
In this paper, we consider the Bayes estimators of the unknown parameters of the exponentiated Weibu...
In this article, a new parameter estimation method, named E-Bayesian method, is considered to obtain...