This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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178
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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International Chinese Statistical Association
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| Abstract - #307368 |
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Title:
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Prediction Intervals for Discrete Random Variables
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Author(s):
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Hsiuying Wang*+
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Companies:
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National Chiao Tung University
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Address:
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Institute of Statistics, National Chiao Tung Unive, Hsinchu, 300, Taiwan
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Keywords:
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prediction interval ;
discrete random variable
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Abstract:
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A prediction interval is an important tool in medical applications to predict the number of disease occurred in a population. The performances of the existing prediction intervals are unsatisfactory when the true proportion is near the boundaries. However, in real applications, the true proportion could be very small. In this study, we proposed improved prediction intervals with better coverage probability than the existing methods. Their predictive distributions are compared in terms of Kullback-Leibler distance criterion. The comparison of the intervals are illustrated by a medical example.
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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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