JSM Preliminary Online Program
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Activity Number: 115
Type: Invited
Date/Time: Monday, August 4, 2008 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #300147
Title: Using Experts' Knowledge To Forecast Warranty Claims
Author(s): Marc Fredette*+
Companies: HEC Montreal
Address: 3000 Côte-Sainte-Catherine, Montreal, QC, h3t 2a7, Canada
Keywords: Warranty Claims ; Prediction ; Random Effects Models ; Poisson Processes ; Prior Information
Abstract:

We discuss methods for predicting the eventual total number of warranty claims in a large population of units manufactured and sold over a period of time. As warranty claims data accumulate, methods based on Poisson processes with random effects often give appropriate frequentist prediction intervals. However, these methods fail to provide adequate intervals when they are based on early or limited data. Models' extensions incorporating experts' knowledge and other types of prior information will be discussed, and an application to the prediction of automobile warranty claims will be considered.


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Revised September, 2008