JSM 2004 - Toronto

Abstract #300687

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Activity Number: 345
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 12:00 PM to 1:50 PM
Sponsor: Section on Statistical Education
Abstract - #300687
Title: Finitizing Power Series Distributions
Author(s): Martin S. Levy*+ and Saeed Golnabi
Companies: University of Cincinnati and Mellon Financial Corporation
Address: Dept. of Quantitative Analysis, Cincinnati, OH, 45221,
Keywords: discrete distribution ; infinite support ; finite support ; Taylor series expansion ; moments ; matching distribution
Abstract:

We introduce a methodology called finitization that converts an infinitely supported discrete power series distribution into another distribution having support of specified finite size, and one having finite support into a density with an even smaller sized support. We illustrate the methodology with four well-known power series distributions: Poisson, negative binomial, binomial, and logarithmic. An interesting moment-preserving property is presented, namely the first n moments of a finitized power series distribution coincide with those of its parent distribution. Some finitized distributions have interesting and unexpected applications. We offer suggestions on how to incorporate finitization into intermediate probability courses.


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