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May 2021 Efficient estimation of the odds using judgment post stratification
Mozhgan Alirezaei Dizicheh, Ehsan Zamanzade, Nasrollah Iranpanah
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Braz. J. Probab. Stat. 35(2): 375-391 (May 2021). DOI: 10.1214/20-BJPS481

Abstract

This work deals with problem of estimating the odds using judgment post stratification (JPS) sampling design. Several estimators of the odds are described and the asymptotic normality of each of them is established. Monte Carlo simulation study is then used to compare different estimators of the odds in the JPS with the standard estimator in simple random sampling (SRS) with replacement for both perfect/imperfect ranking and for both JPS data with/without empty strata. The comparison results indicate that the estimators developed here can be highly more efficient than their SRS counterpart in some certain circumstances. Finally, a real dataset from the third National Health and Nutrition Examination Survey (NHANES III) is employed for illustration purposes.

Acknowledgments

The authors thank the reviewers and an AE for helpful comments that have resulted in an improved paper.

Citation

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Mozhgan Alirezaei Dizicheh. Ehsan Zamanzade. Nasrollah Iranpanah. "Efficient estimation of the odds using judgment post stratification." Braz. J. Probab. Stat. 35 (2) 375 - 391, May 2021. https://doi.org/10.1214/20-BJPS481

Information

Received: 1 October 2019; Accepted: 1 July 2020; Published: May 2021
First available in Project Euclid: 24 March 2021

Digital Object Identifier: 10.1214/20-BJPS481

Rights: Copyright © 2021 Brazilian Statistical Association

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Vol.35 • No. 2 • May 2021
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