DocumentCode :
2185906
Title :
In search of the memoryless property
Author :
Vaughan, Timothy S.
Author_Institution :
Dept. of Manage. & Marketing, Univ. of Wisconsin - Eau Claire, Eau Claire, WI, USA
fYear :
2008
fDate :
7-10 Dec. 2008
Firstpage :
2572
Lastpage :
2576
Abstract :
This paper describes a distribution fitting exercise that has been used in an undergraduate introductory simulation class. The intent is for students to collect data describing a customer arrival process, with the goal of determining whether the exponential distribution is a good fit. The paper briefly reviews the memoryless property, and presents some teaching tips directed toward students¿ understanding of the concept. The data collection exercise is then presented, with attention to common pitfalls students have encountered in the past. A presentation of the variety of distributions that emerge as ¿best fitting¿, when samples are actually drawn from an exponential distribution, serves as a warning against over-reliance on goodness of fit measures.
Keywords :
computer science education; digital simulation; exponential distribution; teaching; customer arrival process; data collection exercise; distribution fitting exercise; exponential distribution; memoryless property search; teaching; undergraduate introductory simulation class; Analytical models; Displays; Education; Exponential distribution; Histograms; Independent component analysis; Logic; Marketing management; Shape measurement; Software testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2008. WSC 2008. Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2707-9
Electronic_ISBN :
978-1-4244-2708-6
Type :
conf
DOI :
10.1109/WSC.2008.4736369
Filename :
4736369
Link To Document :
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