Bayesian Prediction Regions for the Extreme Order Statistics
作者:
G. S. Lingappaiah,
期刊:
Biometrical Journal
(WILEY Available online 1984)
卷期:
Volume 26,
issue 1
页码: 49-56
ISSN:0323-3847
年代: 1984
DOI:10.1002/bimj.4710260109
出版商: WILEY‐VCH Verlag
关键词: Bayesian inference;prediction;order statistics;bounds
数据来源: WILEY
摘要:
AbstractIn this paper, prediction bounds for the order statistics are dealt with. For this purpose, predictive distributions derived by Bayesian approach, are utilized. In particular, bounds for the smallest and the largest order statistics are set when a series of samples are drawn from exponential, Pareto and power function populations. These bounds assist in knowing the nature of these predicted statistics even without actually having the sample observations.
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