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Bayesian Prediction for The Burr Type XII Model Based on Doubly Censored Data

 

作者: M. A. M. Ali mousa,   Z. F. Jaheen,  

 

期刊: Statistics  （Taylor Available online 1997）
卷期: Volume 29, issue 3  

页码: 285-294

 

ISSN:0233-1888

 

年代: 1997

 

DOI:10.1080/02331889708802590

 

出版商: Gordon & Breach Science Publishers

 

关键词: Burr type XII distribution;Bayesian prediction bounds;doubly type-2 censoring;simulation

 

数据来源: Taylor

 

摘要:

Based on a doubly type-2 censored samples. Bayesian prediction bounds for the future observations of the one parameter Burr type XII distribution are obtained. One and two samples techniques are considered. The gamma conjugate prior density is assumed. Numerical examples and a simulation study are given to illustrate the procedures.

 

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