Add to ORKGAbstract In this paper, we obtain Bayesian prediction intervals as well as Bayes predictive estimators under square error loss for generalized order statistics when the distribution of the underlying population belongs to a family which includes several important distributions
Prediction of generalized order sample can be done with normal bounds having suitable confidence. How...
This paper deals with the construct and compute in a Bayesian setting, point and interval prediction...
In this paper, Bayesian analysis is used in nonlinear structural equation models with two population...
Bayesian predictive functions for future observations from a generalized Pareto distribution based o...
In this article a heterogeneous population is represented by a mixture of two generalized exponentia...
The Bayes estimators for the parameter, reliability function of the generalized Rayleigh distributio...
This paper focuses on the Bayesian prediction of kth ordered future observations modelled by a two-c...
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
In this paper, for Weibull subfamily of Morgenstern family, the joint density of the concomitants of...
Generalized order statistics, and thus sequential order statistics with conditional proportional haz...
In biomedical studies, there is often interest in assessing the association between one or more orde...
This paper describes the Bayesian inference and prediction of the generalized Pareto (GP) distributi...
AbstractThe competing risks model may be of great importance for an investigator in medical studies ...
The main focus of the dissertation is on point prediction in models of ordered data comprised by the...
Prediction of generalized order sample can be done with normal bounds having suitable confidence. How...
This paper deals with the construct and compute in a Bayesian setting, point and interval prediction...
In this paper, Bayesian analysis is used in nonlinear structural equation models with two population...
Bayesian predictive functions for future observations from a generalized Pareto distribution based o...
In this article a heterogeneous population is represented by a mixture of two generalized exponentia...
The Bayes estimators for the parameter, reliability function of the generalized Rayleigh distributio...
This paper focuses on the Bayesian prediction of kth ordered future observations modelled by a two-c...
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
In this paper, for Weibull subfamily of Morgenstern family, the joint density of the concomitants of...
Generalized order statistics, and thus sequential order statistics with conditional proportional haz...
In biomedical studies, there is often interest in assessing the association between one or more orde...
This paper describes the Bayesian inference and prediction of the generalized Pareto (GP) distributi...
AbstractThe competing risks model may be of great importance for an investigator in medical studies ...
The main focus of the dissertation is on point prediction in models of ordered data comprised by the...
Prediction of generalized order sample can be done with normal bounds having suitable confidence. How...
This paper deals with the construct and compute in a Bayesian setting, point and interval prediction...
In this paper, Bayesian analysis is used in nonlinear structural equation models with two population...