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Activity Number: 352
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #306625
Title: A Bayesian Approach to Understanding the Probability of Zero Rainfall
Author(s): James Travis*+ and Anindya Roy
Companies: University of Maryland Baltimore County and University of Maryland Baltimore County
Address: 3900 Benzinger Road, Baltimore, MD, 21299, United States
Keywords: Bayesian ; Rainfall ; Renewal Series

An important feature of rainfall to understand is how the dry and wet periods are distributed. In this paper will propose a Bayesian approach to estimating the distributions of the wet and dry periods. We will also discuss the resulting distribution of the probability of non zero rainfall over a particular length of time and how this varies at different time scales.

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