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Estimation of False Discovery Proportion with Unknown Dependence
Approximate factor model large-scale multiple testing dependent test statistics un-known covariance matrix false discovery proportion
2013/6/14
Large-scale multiple testing with highly correlated test statistics arises frequently in many scienti?c research. Incorporating correlation information in estimating false discovery proportion has att...
The cost of using exact confidence intervals for a binomial proportion
Asymptotic expansion binomial distribution expected length sample size determination proportion
2013/4/27
When computing a confidence interval for a binomial proportion p one must choose between using an exact interval, which has a coverage probability of at least 1-{\alpha} for all values of p, and a sho...
Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing
Optimal rates convergence null density proportion nonnull effects large-scale multiple testing
2010/3/9
An important estimation problem that is closely related to largescale
multiple testing is that of estimating the null density and the
proportion of nonnull effects. A few estimators have been introd...
An Improved Estimation Procedure for Estimating the Proportion of a Population Possessing Sensitive Attribute in Unrelated Question Randomized Response Technique
Estimation Procedure Sensitive Attribute Randomized Response Technique
2009/9/17
An Improved Estimation Procedure for Estimating the Proportion of a Population Possessing Sensitive Attribute in Unrelated Question Randomized Response Technique。
Exact Computation of Minimum Sample Size for Estimating Proportion of Finite Population
Exact Computation Minimum Sample Size Estimating Proportion Finite Population
2010/4/30
In this paper, we develop an exact method for the determination of the minimum sample
size for estimating the proportion of a finite population with prescribed margin of error and
confidence level. ...
