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pro vyhledávání: '"Das, Nabaneet"'
Autor:
Das, Nabaneet
Estimation of the proportion of null hypotheses in a multiple testing problem can greatly enhance the performance of the existing algorithms. Although various estimators for the proportion of null hypotheses have been proposed, most are designed for
Externí odkaz:
http://arxiv.org/abs/2409.04100
Autor:
Das, Nabaneet, Bhandari, Subir K.
The idea of an optimal test statistic in the context of simultaneous hypothesis testing was given by Sun and Tony Cai (2009) which is the conditional probability of a hypothesis being null given the data. Since we do not have a simplified expression
Externí odkaz:
http://arxiv.org/abs/2306.10554
Autor:
Das, Nabaneet, Bhandari, Subir K.
In this paper, we have attempted to study the behaviour of the family wise error rate (FWER) for Bonferroni's procedure in a nearly independent setup for normal distribution. In search for a suitable correlation penalty, it has been noted that the ro
Externí odkaz:
http://arxiv.org/abs/2306.10546
Autor:
Das, Nabaneet, Bhandari, Subir Kumar
In this paper, we have attempted to study the behaviour of the family wise error rate (FWER) for Bonferroni's procedure and false discovery rate (FDR) of the Benjamini-Hodgeberg procedure for simultaneous testing problem with equicorrelated normal ob
Externí odkaz:
http://arxiv.org/abs/2008.08366
Autor:
Das, Nabaneet, Bhandari, Subir K.
In this paper,our main focus is to obtain an asymptotic bound on the family wise error rate (FWER) for Bonferroni-type procedure in the simultaneous hypotheses testing problem when the observations corresponding to individual hypothesis are correlate
Externí odkaz:
http://arxiv.org/abs/1908.02193
Publikováno v:
Sankhyā: The Indian Journal of Statistics, Series B (2008-), 2017 May 01. 79(1), 156-169.
Externí odkaz:
https://www.jstor.org/stable/48724937
Autor:
Das, Nabaneet, Bhandari, Subir Kumar
Publikováno v:
In Statistics and Probability Letters January 2021 168