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Abstract Details
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Activity Number:
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297
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #306006 |
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Title:
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Statistical Inference for a Measure for Two Binomial Variates
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Author(s):
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Hokwon Anthony Cho*+
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Companies:
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University of Nevada, Las Vegas
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Address:
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4505 Maryland Pkwy, Box 454020, Las Vegas, NV, 89154-4020, United States
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Keywords:
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Two binomial variates ;
Measure of reduction ;
Asymptotic unbiasedness
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Abstract:
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We study measures of two independent binomial variates which frequently occur in real situations. An estimator for measure of reduction (MOR) is considered for two sample proportions based on a modified maximum likelihood estimation. We study the desirable properties of the estimator: the asymptotic behavior of its unbiasedness and the variance of the estimator. Since the measure ? is approximately normally distributed when sample sizes are sufficiently large, one may establish approximate confidence intervals for the true value of the estimators. For numerical study, the Monte Carlo experiment is carried out for the various scenarios of two sets of samples as well as to examine its finite sample behavior.
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Authors who are presenting talks have a * after their name.
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