A New Estimator for a Population Proportion Using Group Testing

DOI10.1080/03610918.2013.854909zbMath1341.62075OpenAlexW1985061495MaRDI QIDQ2809587

Juan Ding, Wenjun Xiong

Publication date: 30 May 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.854909

zbMATH Keywords

order statisticsbias reductiongroup testingmisclassificationinverse sampling

Mathematics Subject Classification ID

Point estimation (62F10)

Related Items (7)

A descriptive study of variable discretization and cost-sensitive logistic regression on imbalanced credit data ⋮ Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function ⋮ groupTesting: an R package for group testing estimation ⋮ Bias correction in estimating proportions by pooled testing ⋮ Confidence intervals for a population proportion using group testing in the presence of misclassification ⋮ On the construction of unbiased estimators for the group testing problem ⋮ Efficient methods for the estimation of the multinomial parameter for the two-trait group testing model

Cites Work

• Improved estimation of proportions using inverse binomial group testing
• Estimating disease prevalence using inverse binomial pooled testing
• Optimality of group testing in the presence of misclassification
• Exact Confidence Intervals for Proportions Estimated by Group Testing
• Estimating ordered binomial proportions with the use of group testing
• An Empirical Bayes Group-Testing Approach to Estimating Small Proportions
• On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening

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