Add to ORKGBayesian predictive functions for future observations from a generalized Pareto distribution based on generalized order statistics are obtained. Two cases are considered unknown one parameter and unknown two parameters. We also consider two cases fixed sample size and random sample size. The Bayesian predictive functions are specialized to ordinary order statistics, progressive type II censoring and upper record values. Examples are calculated for the lower and the upper bounds for the future observation based on ordinary order statistics, progressive type II censoring and upper record samples.. MSC 2000: 60G25; 15A09; 62J0
This paper focuses on the Bayesian prediction of kth ordered future observations modelled by a two-c...
AbstractThe competing risks model may be of great importance for an investigator in medical studies ...
The Pareto Type-II model is considered in present article as the underlying model from which observa...
This paper describes the Bayesian inference and prediction of the generalized Pareto (GP) distributi...
This paper deals with the construct and compute in a Bayesian setting, point and interval prediction...
[[abstract]]Nigm et al. (2003, statistics 37: 527–536) proposed Bayesian method to obtain predictive...
[[abstract]]Nigm et al. (2003, statistics 37: 527–536) proposed Bayesian method to obtain predictive...
In this paper, we have considered the generalized Pareto distribution. Various structural properties...
The main focus of the dissertation is on point prediction in models of ordered data comprised by the...
Abstract In this paper, we obtain Bayesian prediction intervals as well as Bayes predictive estimato...
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
we derive exact explicit expressions for the single, double, triple, and quadruple moments of order ...
In this article, we derive exact explicit expressions for the single, double, triple, and quadruple ...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
In this article a heterogeneous population is represented by a mixture of two generalized exponentia...
This paper focuses on the Bayesian prediction of kth ordered future observations modelled by a two-c...
AbstractThe competing risks model may be of great importance for an investigator in medical studies ...
The Pareto Type-II model is considered in present article as the underlying model from which observa...
This paper describes the Bayesian inference and prediction of the generalized Pareto (GP) distributi...
This paper deals with the construct and compute in a Bayesian setting, point and interval prediction...
[[abstract]]Nigm et al. (2003, statistics 37: 527–536) proposed Bayesian method to obtain predictive...
[[abstract]]Nigm et al. (2003, statistics 37: 527–536) proposed Bayesian method to obtain predictive...
In this paper, we have considered the generalized Pareto distribution. Various structural properties...
The main focus of the dissertation is on point prediction in models of ordered data comprised by the...
Abstract In this paper, we obtain Bayesian prediction intervals as well as Bayes predictive estimato...
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
we derive exact explicit expressions for the single, double, triple, and quadruple moments of order ...
In this article, we derive exact explicit expressions for the single, double, triple, and quadruple ...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
In this article a heterogeneous population is represented by a mixture of two generalized exponentia...
This paper focuses on the Bayesian prediction of kth ordered future observations modelled by a two-c...
AbstractThe competing risks model may be of great importance for an investigator in medical studies ...
The Pareto Type-II model is considered in present article as the underlying model from which observa...