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
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Journal ArticleDOI
Highly efficient factorial designs for cDNA microarray experiments: use of approximate theory together with a step-up step-down procedure
Runchu Zhang,Rahul Mukerjee +1 more
TL;DR: A step-up/down procedure is proposed which is seen to work very well and to be quite robust to possible dye-color effects and heteroscedasticity and works equally well also for hybrids of the two and other parametrizations.
Journal ArticleDOI
On likelihood inference in binary mixed model with an application to COPD data
TL;DR: A simulation based likelihood estimation method is applied that provides consistent as well as efficient estimates of the parameters of the model and is illustrated by using chronic obstructive pulmonary disease data from Cohen.
Journal ArticleDOI
Minimax second-order designs over cuboidal regions for the difference between two estimated responses
S. Huda,Rahul Mukerjee +1 more
TL;DR: In this paper, the variance of the difference between estimated responses at two points, maximized over all pairs of points in the factor space, is taken as the design criterion and optimal designs under this criterion are derived, via a combination of algebraic and numerical techniques, for the full second-order regression model over cuboidal regions.
Book ChapterDOI
Comparison of tests in the presence of a nuisance parameter
TL;DR: In this paper, a large class of tests, including the likelihood ratio, the conditional likelihood ratio (CRL), Rao's and Wald's tests, is considered. But no assumption has been made regarding curved exponentiality.
Journal ArticleDOI
Characterization of normality within the class of elliptical contoured distributions
C.G Khatri,Rahul Mukerjee +1 more
TL;DR: In this paper, the necessary and sufficient conditions for a quadratic form x′Ax to be distributed as chi-square were established when μ = 0 and Σ = I.