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http://dx.doi.org/10.7465/jkdi.2014.25.1.255

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

Oh, Changhyuck (Department of Statistics, Yeungnam University)
Publication Information
Journal of the Korean Data and Information Science Society / v.25, no.1, 2014 , pp. 255-261 More about this Journal
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 rst 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.
Keywords
EM algorithm; likelihood; mixture; shifted binomial;
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Times Cited By KSCI : 3  (Citation Analysis)
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