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Abstract Details
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Activity Number:
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352
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #306625 |
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Title:
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A Bayesian Approach to Understanding the Probability of Zero Rainfall
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Author(s):
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James Travis*+ and Anindya Roy
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Companies:
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University of Maryland Baltimore County and University of Maryland Baltimore County
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Address:
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3900 Benzinger Road, Baltimore, MD, 21299, United States
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Keywords:
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Bayesian ;
Rainfall ;
Renewal Series
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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