Alternative estimator for the parameters of a mixture of two binomial distributions
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Abstract
The method of moments has been widely used as a simple alternative to the maximum likelihood method, mainly because of its efficiency and simplicity in obtaining parameter estimators of a mixture of two binomial distributions. In this paper, an alternative estimate is proposed which is as competitive as of the method of moments when comparing the mean squared error and computational effort.
Keywords
Mixture of two binomial distributions Method of moments Maximum likelihood Simple majority results Repetitive classifications Misclassifications Monte Carlo simulationPreview
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