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On Bayesian interval prediction of future records

✍ Scribed by Essam K. Al-Hussaini; Abd El-Baset A. Ahmad

Book ID: 110575663
Publisher: CrossRef test prefix
Year: 2003
Tongue: English
Weight: 753 KB
Volume: 12
Category: Article
ISSN: 1234-5678
DOI: 10.1007/bf02595812

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## Abstract The Los Angeles rainfall data are found to fit well to the two‐parameter generalized exponential (GE) distribution. A Bayesian parametric approach is described and used to predict the behavior of further rainfall records. Importance sampling is used to estimate the model parameters, and