Bayesian Estimation and Prediction for Pareto Data
作者:
BarryC. Arnold,
S.James Press,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1989)
卷期:
Volume 84,
issue 408
页码: 1079-1084
ISSN:0162-1459
年代: 1989
DOI:10.1080/01621459.1989.10478875
出版商: Taylor & Francis Group
关键词: Censored data;Conjugate priors;Independent priors
数据来源: Taylor
摘要:
Data from a classical Pareto distribution are to be used to make inferences about the inequality and precision parameters. In addition, it is desired to predict the behavior of further observations from the distribution. Three typical data configurations are considered (iid and two types of censoring). Dependent conjugate prior analyses are reviewed and are compared with an analysis involving independent priors for the inequality and precision parameters. It is argued that mathematical tractability should be, perhaps, a minor consideration in the choice of priors. A comparative example is included.
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