On the Estimation of the Odds-Ratio Based on Kernel Estimates of the Regression Function

Petre Babilua; Elizbar Nadaraya; Mzevinar Patsatsia; Zaza Khechinashvili

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On the Estimation of the Odds-Ratio Based on Kernel Estimates of the Regression Function

机译：基于回归函数核估计的几率比估计

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摘要

In the paper, the estimate of an odds-ratio based on the kernel estimate of the regression function is constructed. The consistency, asymptotic normality and uniform convergence of the constructed estimate are proved.

机译：在本文中，基于回归函数的核估计构建了赔率比的估计。证明了所构造估计的一致性，渐近正态性和一致收敛性。

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来源
《Bulletin of the Georgian Academy of Sciences》 |2017年第3期|14-21|共8页
作者
Petre Babilua; Elizbar Nadaraya; Mzevinar Patsatsia; Zaza Khechinashvili;
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作者单位

Department of Mathematics, Faculty of Exact and Natural Sciences, I. Javakhishvili Tbilisi State University, Tbilisi, Georgia;

Department of Mathematics, Faculty of Exact and Natural Sciences, I. Javakhishvili Tbilisi State University, Tbilisi, Georgia,Academy Member, Department of Mathematics, Faculty of Exact and Natural Sciences, I. Javakhishvili Tbilisi State University, Tbilisi, Georgia;

Department of Mathematics, Faculty of Mathematics and Computer Sciences, Sokhumi State University, Tbilisi, Georgia;

Department of Mathematics, Faculty of Exact and Natural Sciences, I. Javakhishvili Tbilisi State University, Tbilisi, Georgia;

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正文语种 eng
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关键词
odds-ratio; consistency; limit distribution; kernel estimate; uniform convergence;

机译：赔率一致性;极限分布核估计;统一收敛;

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On the Estimation of the Odds-Ratio Based on Kernel Estimates of the Regression Function

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