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Bayesian inference for the generalized exponential distribution

✍ Scribed by Raqab, Mohamed Z.; Madi, Mohamed T.

Book ID: 120288003
Publisher: Taylor and Francis Group
Year: 2005
Tongue: English
Weight: 223 KB
Volume: 75
Category: Article
ISSN: 0094-9655
DOI: 10.1080/00949650412331299166

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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