Siuli Mukhopadhyay
Siuli Mukhopadhyay
Associate Professor of Statistics, Indian Institute of Technology Bombay
Verified email at - Homepage
Cited by
Cited by
Response surface methodology
AI Khuri, S Mukhopadhyay
Wiley Interdisciplinary Reviews: Computational Statistics 2 (2), 128-149, 2010
Tensile bond strength of an adhesive resin cement to different alloys having various surface treatments
A Abreu, MA Loza, A Elias, S Mukhopadhyay, S Looney, FA Rueggeberg
The Journal of prosthetic dentistry 101 (2), 107-118, 2009
Wiley Interdiscip. Rev
AI Khuri, S Mukhopadhyay
Comput. Stat 2 (2), 128, 2010
Effect of metal type and surface treatment on in vitro tensile strength of copings cemented to minimally retentive preparations
A Abreu, MA Loza, A Elias, S Mukhopadhyay, FA Rueggeberg
The Journal of Prosthetic Dentistry 98 (3), 199-207, 2007
Comparison of designs for multivariate generalized linear models
S Mukhopadhyay, AI Khuri
Journal of Statistical Planning and Inference 138 (1), 169-183, 2008
GLM designs: the dependence on unknown parameters dilemma
AI Khuri, S Mukhopadhyay
Response Surface Methodology and Related Topics, 203-223, 2006
Anomalies in the motion dynamics of long-flagella mutants of Chlamydomonas reinhardtii
DK Khona, VG Rao, MJ Motiwalla, PCS Varma, AR Kashyap, K Das, ...
Journal of biological physics 39 (1), 1-14, 2013
Optimization in a multivariate generalized linear model situation
S Mukhopadhyay, AI Khuri
Computational statistics & data analysis 52 (10), 4625-4634, 2008
Variable selection method for quantitative trait analysis based on parallel genetic algorithm
S Mukhopadhyay, V George, H Xu
Annals of human genetics 74 (1), 88-96, 2010
Comparison of designs for generalized linear models under model misspecification
S Mukhopadhyay, AI Khuri
Statistical Methodology 9 (3), 285-304, 2012
Bayesian crossover designs for generalized linear models
SP Singh, S Mukhopadhyay
Computational Statistics & Data Analysis 104, 35-50, 2016
Bayesian optimal cluster designs
SP Singh, S Mukhopadhyay
Statistical Methodology 32, 36-52, 2016
Comparison of three-level cluster randomized trials using quantile dispersion graphs
SP Singh, S Mukhopadhyay, A Roy
Journal of Applied Statistics 42 (8), 1792-1812, 2015
On generalized multinomial models and joint percentile estimation
I Das, S Mukhopadhyay
Journal of Statistical Planning and Inference 145, 190-203, 2014
Quantile dispersion graphs to compare the efficiencies of cluster randomized designs
S Mukhopadhyay, SW Looney
Journal of Applied Statistics 36 (11), 1293-1305, 2009
A new graphical approach for comparing response surface designs on the basis of the mean squared error of prediction criterion
S Mukhopadhyay, AI Khuri
Statistics and Applications 6, 293-324, 2008
Exact Bayesian designs for count time series
R Singh, S Mukhopadhyay
Computational Statistics & Data Analysis 134, 157-170, 2019
Robust designs in generalized linear models: A quantile dispersion graphs approach
I Das, M Aggarwal, S Mukhopadhyay
Communications in Statistics-Simulation and Computation 44 (9), 2348-2370, 2015
Approximating moments of continuous functions of random variables using Bernstein polynomials
AI Khuri, S Mukhopadhyay, MA Khuri
Statistical Methodology 24, 37-51, 2015
Estimation of undetected COVID-19 infections in India
S Mukhopadhyay, D Chakraborty
medRxiv, 2020
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