DocumentCode :
388688
Title :
Collecting data and estimating parameters for input distributions
Author :
Freimer, Mike ; Schruben, Lee
Author_Institution :
Sch. of Operations Res. & Ind. Eng., Cornell Univ., Ithaca, NY, USA
Volume :
1
fYear :
2002
fDate :
8-11 Dec. 2002
Firstpage :
392
Abstract :
An early stage of a simulation study often consists of collecting data in order to parameterize the model. This paper addresses the question of how much data to collect, and from what sources. We use designed experiments to identify important unknown parameters, taking into account the current level of information about them. We develop approaches based on two common forms of analysis of variance: a fixed effects model, and a random effects model.
Keywords :
data acquisition; parameter estimation; simulation; data collection; fixed effects model; input distributions; parameter estimation; random effects model; simulation; Analysis of variance; Analytical models; Data analysis; Feedback; Industrial engineering; Operations research; Parameter estimation; Performance analysis; Testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN :
0-7803-7614-5
Type :
conf
DOI :
10.1109/WSC.2002.1172909
Filename :
1172909
Link To Document :
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