R
Rahul Mukerjee
Researcher at Indian Institute of Management Calcutta
Publications - 209
Citations - 3699
Rahul Mukerjee is an academic researcher from Indian Institute of Management Calcutta. The author has contributed to research in topics: Frequentist inference & Prior probability. The author has an hindex of 30, co-authored 206 publications receiving 3507 citations. Previous affiliations of Rahul Mukerjee include Siemens & Chiba University.
Papers
More filters
Journal ArticleDOI
One-eighth- and one-sixteenth-fraction quaternary code designs with high resolution
TL;DR: In this paper, a systematic construction for 1/8th and 1/16th fraction quaternary codes with high resolution for any number of factors is presented, and a majority of these designs have larger resolution than comparable two-level regular designs.
Journal ArticleDOI
Almost saturated D -optimal main effect plans and allied results
Rahul Mukerjee,Bikas K. Sinha +1 more
TL;DR: In this paper, the theory of unimodular matrices has been applied to derive D-optimal main effect plans for 1 ×s 2 factorials and for 1 +s 2 runs.
Journal ArticleDOI
On the positive definiteness of the information matrix under the binary and poisson mixed models
TL;DR: In this article, the necessary and sufficient conditions for positive definiteness of the information matrix of binary and Poisson generalized linear mixed models are derived for over/under-dispersed proportion and count data, respectively.
Journal ArticleDOI
Bayesian and frequentist confidence intervals via adjusted likelihoods under prior specification on the interest parameter
TL;DR: In this article, the authors derive higher order asymptotic results on the construction of confidence intervals that have approximately correct posterior as well as frequentist coverage, and provide additional justification for the Cox and Reid adjustment from a Bayesian-cum-frequentist perspective, with regard to neutralization of unknown nuisance parameters.
Journal ArticleDOI
Comparison between the locally most powerful unbiased and Rao's test
Rahul Mukerjee,Tapas K. Chandra +1 more
TL;DR: In this paper, an asymptotic comparison between Rao's test and the locally most powerful unbiased (LMPU) test under contiguous alternatives, both test having the same size α (up to o(n−1)).