Bayesian Prediction under a Finite Mixture of Generalized Exponential Lifetime Model
نویسندگان
چکیده
منابع مشابه
Bayesian Prediction Intervals of Future Generalized Order Statistics under a Finite Mixture of Generalized Exponential Distributions
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
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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 ...
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ژورنال
عنوان ژورنال: Pakistan Journal of Statistics and Operation Research
سال: 2014
ISSN: 2220-5810,1816-2711
DOI: 10.18187/pjsor.v10i4.620