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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/139855

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/139855

Title:	Logarithmic Confidence Intervals for the Cross-product Ratio of Binomial Proportions under Different Sampling Schemes
Authors:	楊素芬 Yang, Su-Fen Sungboonchoo, Chanakan Panichkitkosolkul, Wararit Volodin, Andrei
Contributors:	統計系
Keywords:	Cross-product ratio;Direct binomial sampling scheme;Inverse binomial sampling scheme;Logarithmic confidence interval;Normal approximation
Date:	2023-05
Issue Date:	2022-04-12
Abstract:	We consider the problem of logarithmic interval estimation for a cross-product ratio ρ=p1(1−p2)p2(1−p1) with data from two independent Bernoulli samples. Each sample may be obtained in the framework of direct or inverse Binomial sampling schemes. Asymptotic logarithmic confidence intervals are constructed under different types of sampling schemes, with parameter estimators demonstrating exponentially decreasing bias. Our goal is to investigate the cases when the relatively simple normal approximations for estimators of the cross-product ratio are reliable for constructing logarithmic confidence intervals. We use the closeness of the confidence coefficient to the nominal confidence level as our main evaluation criterion, and use the Monte-Carlo method to investigate the key probability characteristics of intervals corresponding to all possible combinations of sampling schemes. We present estimations of the coverage probability, expectation and standard deviation of interval widths in tables. Also, we provide some recommendations for applying each logarithmic interval obtained.
Relation:	Communications in Statistics - Simulation and Computation, Vol.52, No.6, pp.2686-2704
Data Type:	article
DOI 連結:	https://doi.org/10.1080/03610918.2021.1914090
DOI:	10.1080/03610918.2021.1914090
Appears in Collections:	[統計學系] 期刊論文

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