EFFICIENT ESTIMATION OF THE PARAMETERS OF BINOMIAL DISTRIBUTION IN THE PRESENCE OF OUTLIERS

The maximum likelihood, moment and mixture estimators are derived for samples from the binomial distribution in the presence of outliers. We have shown that these estimators are consistent. Further, by using simulation technique it has been shown that mixture estimators are better than maximum likel...

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Bibliographic Details
Published inJournal of applied statistical science Vol. 21; no. 2; p. 189
Main Authors Dixit, U J, Kelkar, Shailaja G
Format Journal Article
LanguageEnglish
Published Hauppauge Nova Science Publishers, Inc 2013
Subjects
Binomial distribution
Binomials
Estimating techniques
Estimators
Maximum likelihood estimators
Maximum likelihood method
Outliers (statistics)
Probability distribution
Samples
Simulation
Statistical analysis
Studies
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Summary:The maximum likelihood, moment and mixture estimators are derived for samples from the binomial distribution in the presence of outliers. We have shown that these estimators are consistent. Further, by using simulation technique it has been shown that mixture estimators are better than maximum likelihood estimator (MLE). At the end we have given an example of real data.
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ISSN:1067-5817