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Bayesian Prediction of Future Generalized Order Statistics from a Class of Finite Mixture Distributions

Bayesian Prediction of Future Generalized Order Statistics from a Class of Finite Mixture Distributions
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摘要 This article is concerned with the problem of prediction for the future generalized order statistics from a mixture of two general components based on doubly?type II censored sample. We consider the one sample prediction and two sample prediction techniques. Bayesian prediction intervals for the median of future sample of generalized order statistics having odd and even sizes are obtained. Our results are specialized to ordinary order statistics and ordinary upper record values. A mixture of two Gompertz components model is given as an application. Numerical computations are given to illustrate the procedures. This article is concerned with the problem of prediction for the future generalized order statistics from a mixture of two general components based on doubly?type II censored sample. We consider the one sample prediction and two sample prediction techniques. Bayesian prediction intervals for the median of future sample of generalized order statistics having odd and even sizes are obtained. Our results are specialized to ordinary order statistics and ordinary upper record values. A mixture of two Gompertz components model is given as an application. Numerical computations are given to illustrate the procedures.
出处 《Open Journal of Statistics》 2015年第6期585-599,共15页 统计学期刊(英文)
关键词 Generalized Order STATISTICS BAYESIAN Prediction Heterogeneous Population DOUBLY Type II Censored SAMPLES One- and Two-Sample Schemes Generalized Order Statistics Bayesian Prediction Heterogeneous Population Doubly Type II Censored Samples One- and Two-Sample Schemes
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