On Bayesian predictive distributions of generalized order statistics
被引:0
作者:
Essam K. AL-Hussaini
论文数: 0引用数: 0
h-index: 0
机构:Department of Mathematics,
Essam K. AL-Hussaini
Abd EL-Baset A. Ahmad
论文数: 0引用数: 0
h-index: 0
机构:Department of Mathematics,
Abd EL-Baset A. Ahmad
机构:
[1] Department of Mathematics,
[2] University of Assiut,undefined
[3] Assiut 71516 Egypt,undefined
来源:
Metrika
|
2003年
/
57卷
关键词:
Key words: Bayesian prediction;
one-sample scheme;
order statistics;
records;
generalized order statistics;
D O I:
暂无
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学科分类号:
摘要:
Bayesian predictive densities and survival functions of generalized order statistics are obtained when the underlying population is assumed to have a general class which includes several important distributions. The prior belief of the experimenter is measured by a general class of distributions, suggested by AL-Hussaini (1999)b, which covers most prior distributions used in literature.