The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
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
|
Abstract:
|
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.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.