NDLI: Comparison Between Two Multinomial Overdispersion Models Through Simulation

Content Provider	Scilit
Author	Afroz, Farzana Shabuz, Zillur Rahman
Copyright Year	2020
Description	A key assumption when using the multinomial distribution is that the observations are independent. In many practical situations, the observations could be correlated or clustered and the probabilities within each cluster might vary, which may lead to overdispersion. In this paper we discuss two well-known approaches to model overdispersed multinomial data, the Dirichlet-multinomial model and the finite-mixture model. The difference between these two models has been illustrated via simulation study. The forest pollen data is considered as a practical example of overdisperse multinomial data. The overdispersion parameter,φ, has been estimated using two classical estimators. Dhaka Univ. J. Sci. 68(1): 45-48, 2020 (January)
Ending Page	48
Page Count	4
Starting Page	45
ISSN	10222502
e-ISSN	24088528
DOI	10.3329/dujs.v68i1.54596
Journal	Dhaka University Journal of Science
Issue Number	1
Volume Number	68
Language	English
Publisher	Bangladesh Academy of Sciences
Publisher Date	2020-01-30
Access Restriction	Open
Subject Keyword	Mathematical Social Sciences Multinomial Overdispersion
Content Type	Text
Resource Type	Article

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Comparison Between Two Multinomial Overdispersion Models Through Simulation