A maximum likelihood estimation method for a mixture of shifted binomial distributions

Title
A maximum likelihood estimation method for a mixture of shifted binomial distributions
Author(s)
오창혁
Keywords
EM algorithm; likelihood; mixture; shifted binomial
Issue Date
201401
Publisher
한국데이터정보과학회
Citation
한국데이터정보과학회지, v.25, no.1, pp.255 - 261
Abstract
Many studies have estimated a mixture of binomial distributions. This paper considers an extension, a mixture of shifted binomial distributions, and the estimation of the distribution. The range of each component binomial distribution is first evaluated and then for each possible value of shifted parameters, the EM algorithm is employed to estimate those parameters. From a set of possible value of shifted parameters and corresponding estimated parameters of the distribution, the likelihood of given data is determined. The simulation results verify the performance of the proposed method.
URI
http://hdl.handle.net/YU.REPOSITORY/33414http://dx.doi.org/10.7465/jkdi.2014.25.1.255
ISSN
1598-9402
Appears in Collections:
이과대학 > 통계학과 > Articles
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