Výsledky vyhledávání - "Dey, Monitirtha"

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Asymptotics in Multiple Hypotheses Testing under Dependence: beyond Normality

Autor: Dey, Monitirtha

Correlated observations are ubiquitous phenomena in a plethora of scientific avenues. Tackling this dependence among test statistics has been one of the pertinent problems in simultaneous inference. However, very little literature exists that elucida

Externí odkaz: http://arxiv.org/abs/2411.12119

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Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal

Autor: Dey, Monitirtha, Bhandari, Subir Kumar

Simultaneous statistical inference has been a cornerstone in the statistics methodology literature because of its fundamental theory and paramount applications. The mainstream multiple testing literature has traditionally considered two frameworks: t

Externí odkaz: http://arxiv.org/abs/2309.16657

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On Asymptotic Behaviors of Stepwise Multiple Testing Procedures

Autor: Dey, Monitirtha

Stepwise multiple testing procedures have attracted several statisticians for decades and are also quite popular with statistics users because of their technical simplicity. The Bonferroni procedure has been one of the earliest and most prominent tes

Externí odkaz: http://arxiv.org/abs/2212.08372

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Demand Analysis with a Thin Price Sample

Autor: Dey, Monitirtha, Kumar, Arpan, Mukherjee, Diganta

For about 125 items of food, the Consumer Expenditure Survey (CES) schedule of the Indian National Sample Survey asks the interviewer to obtain both quantity and value of household consumption during the reference period from the respondent. This wou

Externí odkaz: http://arxiv.org/abs/2206.09452

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FWER Goes to Zero for Correlated Normal

Autor: Dey, Monitirtha, Bhandari, Subir Kumar

Familywise error rate (FWER) has been a cornerstone in simultaneous inference for decades, and the classical Bonferroni method has been one of the most prominent frequentist approaches for controlling FWER. The present article studies the limiting be

Externí odkaz: http://arxiv.org/abs/2110.05070

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