[PDF] Top 20 Bayesian Prediction Intervals for Future Order Statistics from the Generalized Exponential Distribution

... the Bayesian prediction ...one-sample prediction and θ and y for the 2-sample prediction, a sampler single chain with pre-determined number of iterations is run and used as input in Raftery ... See full document

... sample from the generalized exponential distribution, the problem of predicting the order statistics from a future unobserved sample from the same ... See full document

... studied Bayesian prediction under a finite mixture of two component Gompertz lifetime model, based on type-I censored ...discussed Bayesian prediction under generalized ... See full document

... predicted future order statistics and records from homogeneous as well as heterogeneous ...obtain Bayesian prediction intervals as well as the Bayes predictive estimators ... See full document

... the Bayesian inference the estimates of the parameters are computed from their respective marginal posterior ...samples from the joint posterior in order to obtain summaries and ... See full document

... function distribution with different shape and same scale parameter based on ...bathtub-shaped distribution based on record data has been considered by Raqab et ...asymptotic distribution and Bayes ... See full document

... lifetime distribution by transmuted and compounding Lindley and geometric distribu- tions named transmuted Lindley geometric ...geometric distribution to real ...mulative distribution function of one ... See full document

... obtained Bayesian pre- diction intervals for future order statistics from the gene- ralized exponential ...studied Bayesian inference and prediction of ... See full document

... the Bayesian estimators using squared error and LINEX loss functions for the generalized inverted exponential distribution parameters are considered depending on upper record values and upper ... See full document

... for order statistics in future samples via a specific loss function when only the functional form of the underlying distribution is specified, but some or all of its parameters are ... See full document

... For Bayesian approach, the performance depends on the form of the prior distribution and the loss function assumed. A wide variety of loss functions have been de- veloped in the literature to describe ... See full document

... cumulative distribution function (cdf) F (x) and probability density function (pdf) f ...and prediction of future record values have been studied by several authors, for details see Balakrishnan and ... See full document

... derived distribution-free PIs for future order statistics based on progressively Type-II right censored sample and for future order statistics based on order ...on ... See full document

... tation varies between 950 and 1099 mm (Perner et al., 2005). The studied plant communities located between 11.018º and 11.638º eastern longitudes and be- tween 50.358º and 50.578º northern latitudes comprising a total of ... See full document

... Wishart distribution is also obtained for the multinormal ...matrix-T distribution as a generalization of the multivariate Student- t distribution can overcome both the problems of outliers as well ... See full document

... See, e.g. Lloyd [1]. The parametric ROC curve model can be obtained for symmetric and skewed markers values under bi-distributional models assumptions [2]. The frequently used Bi-Normal model assumes independent normal ... See full document

... Abstract In this paper, we study the limit properties of the ratio for order statistics based on samples from an exponential distribution and obtain the expression of the density functio[r] ... See full document

... is always busy when there is at least a customer in the system. The service times of customers are assumed to be a sequence of mutually independent and identically distributed random variables with finite moments. In ... See full document

... of generalized order statistics from New Weibull-Pareto Distribution (NWPD) have been ...ordinary order statistics and k th record values and are deduced from the ... See full document

... This distribution is capable for representing different shapes of failure rates and hence different shapes of aging ...well-known generalized exponential distribution (GED) introduced by Gupta ... See full document