activity
20162025
most citedBound on FWER for correlated normal distribution

12 citations · 12 across the 13 of their papers we have counts for

collaborators

15 papers

math.ST2025

Adjusting SPRT for an Efficient Procedure with Finite Number of Applications of Less Effective Treatment

Sampurna Kundu, Jayant Jha, Subir Kumar Bhandari

We propose an adaptive Sequential Probability Ratio Test (SPRT) which allocates a finite number of applications to the less effective treatment. In the classical SPRT framework, pa…

math.ST2024

To Study Properties of a Known Procedure in Adaptive Sequential Sampling Design

Sampurna Kundu, Jayant Jha, Subir Kumar Bhandari

We consider the procedure proposed by Bhandari et al. (2009) in the context of two-treatment clinical trials, with the objective of minimizing the applications of the less effectiv…

math.ST2023

Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal

Monitirtha Dey, Subir Kumar Bhandari

Simultaneous statistical inference has been a cornerstone in the statistics methodology literature because of its fundamental theory and paramount applications. The mainstream mult…

math.ST2023

Optimal test statistic under normality assumption

Nabaneet Das, Subir K. Bhandari

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 be…

math.ST2023

Correction Factor of FWER for Normal Distribution in Nearly Independent Setup

Nabaneet Das, Subir K. Bhandari

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 se…

stat.ME2023

Large-scale adaptive multiple testing for sequential data controlling false discovery and nondiscovery rates

Rahul Roy, Shyamal K. De, Subir Kumar Bhandari

In modern scientific experiments, we frequently encounter data that have large dimensions, and in some experiments, such high dimensional data arrive sequentially rather than full…