Bayesian Prediction Intervals of Future Generalized Order Statistics under a Finite Mixture of Generalized Exponential Distributions
نویسندگان
چکیده
In this paper, the Bayesian prediction intervals (BPI ′s) of future generalized order statistics are obtained under a mixture of two components of generalized exponential distributions in case of one and two-sample schemes. Based on a type-II censored sample from a real data set, the BPI ′s of the remaining observations are obtained. Mathematics Subject Classification: 62F10; 62F15; 62N01; 62N02
منابع مشابه
Bayesian Prediction Intervals for Future Order Statistics from the Generalized Exponential Distribution
Let X1, X2, ..., Xr be the first r order statistics from a sample of size n from the generalized exponential distribution with shape parameter θ. In this paper, we consider a Bayesian approach to predicting future order statistics based on the observed ordered data. The predictive densities are obtained and used to determine prediction intervals for unobserved order statistics for one-sample ...
متن کاملNon-linear Bayesian prediction of generalized order statistics for liftime models
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.
متن کاملBayesian Prediction Intervals under Bivariate Truncated Generalized Cauchy Distribution
Ateya and Madhagi (2011) introduced a multivariate form of truncated generalized Cauchy distribution (TGCD), which introduced by Ateya and Al-Hussaini (2007). The multivariate version of (TGCD) is denoted by (MVTGCD). Among the features of this form are that subvectors and conditional subvectors of random vectors, distributed according to this distribution, have the same form of distribution ...
متن کاملBayesin estimation and prediction whit multiply type-II censored sample of sequential order statistics from one-and-two-parameter exponential distribution
In this article introduce the sequential order statistics. Therefore based on multiply Type-II censored sample of sequential order statistics, Bayesian estimators are derived for the parameters of one- and two- parameter exponential distributions under the assumption that the prior distribution is given by an inverse gamma distribution and the Bayes estimator with respect to squared error loss ...
متن کاملBayesian Prediction Intervals of Future Nonadjacent Generalized Order Statistics from Generalized Exponential Distribution Using Markov Chain Monte Carlo Method
In this paper, the Bayesian prediction intervals for the future nonadjacent generalized order statistics are computed based on a past right censored sample of nonadjacent generalized order statistics from generalized exponential distribution GE(α, τ). Then, the results will be specialized to the type-II censored samples and to the upper recored values. Mathematics Subject Classification: 62F10;...
متن کامل