This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 353
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #306883
Title: Improved Prediction Intervals for Binomial and Poisson Distributions
Author(s): Jie Peng*+ and Kalimuthu Krishnamoorthy
Companies: St. Ambrose University and University of Louisiana at Lafayette
Address: 518 W. Locust Street, Davenport, IA, 52803,
Keywords: Clopper-Pearson approach ; Conditional approach ; Coverage probability ; Hypergeometric distribution

The problems of constructing prediction intervals for the binomial and Poisson distributions are considered. Available approximate, exact and conditional methods for both distributions are reviewed and compared. Simple approximate prediction intervals based on the joint distribution of the past samples and the future sample are proposed. Exact coverage studies and expected widths of prediction intervals show that the new prediction intervals are comparable to or better than the available ones in most cases. The methods are illustrated using two practical examples.

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