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Siuli Mukhopadhyay, Ph.D. - Publications

Affiliations: 
2006 University of Florida, Gainesville, Gainesville, FL, United States 
Area:
Statistics
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16 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Das I, Mukhopadhyay S. Robust designs for multinomial models Communications in Statistics - Simulation and Computation. 48: 2998-3021. DOI: 10.1080/03610918.2018.1473588  0.519
2019 Singh R, Mukhopadhyay S. Exact Bayesian designs for count time series Computational Statistics & Data Analysis. 134: 157-170. DOI: 10.1016/J.Csda.2018.12.008  0.505
2016 Singh SP, Mukhopadhyay S. Bayesian optimal cluster designs Statistical Methodology. 32: 36-52. DOI: 10.1016/J.Stamet.2016.02.002  0.454
2016 Singh SP, Mukhopadhyay S. Bayesian crossover designs for generalized linear models Computational Statistics and Data Analysis. 104: 35-50. DOI: 10.1016/J.Csda.2016.06.002  0.491
2015 Das I, Aggarwal M, Mukhopadhyay S. Robust Designs in Generalized Linear Models: A Quantile Dispersion Graphs Approach Communications in Statistics - Simulation and Computation. 44: 2348-2370. DOI: 10.1080/03610918.2014.904343  0.517
2015 Singh SP, Mukhopadhyay S, Roy A. Comparison of three-level cluster randomized trials using quantile dispersion graphs Journal of Applied Statistics. 42: 1792-1812. DOI: 10.1080/02664763.2015.1010491  0.382
2015 Khuri AI, Mukhopadhyay S, Khuri MA. Approximating moments of continuous functions of random variables using Bernstein polynomials Statistical Methodology. 24: 37-51. DOI: 10.1016/J.Stamet.2014.11.004  0.592
2014 Das I, Mukhopadhyay S. On generalized multinomial models and joint percentile estimation Journal of Statistical Planning and Inference. 145: 190-203. DOI: 10.1016/J.Jspi.2013.08.015  0.382
2012 Das I, Mukhopadhyay S. Robust designs for multivariate generalized linear models with misspecification in the linear predictor: A quantile dispersion graphs approach Icssbe 2012 - Proceedings, 2012 International Conference On Statistics in Science, Business and Engineering: "Empowering Decision Making With Statistical Sciences",. 140-145. DOI: 10.1109/ICSSBE.2012.6396543  0.501
2012 Mukhopadhyay S, Khuri AI. Comparison of designs for generalized linear models under model misspecification Statistical Methodology. 9: 285-304. DOI: 10.1016/J.Stamet.2011.08.004  0.681
2010 Khuri AI, Mukhopadhyay S. Response surface methodology Wiley Interdisciplinary Reviews: Computational Statistics. 2: 128-149. DOI: 10.1002/Wics.73  0.621
2009 Mukhopadhyay S, Looney SW. Quantile dispersion graphs to compare the efficiencies of cluster randomized designs Journal of Applied Statistics. 36: 1293-1305. DOI: 10.1080/02664760902914508  0.361
2008 Mukhopadhyay S, Khuri AI. Comparison of designs for multivariate generalized linear models Journal of Statistical Planning and Inference. 138: 169-183. DOI: 10.1016/J.Jspi.2007.05.014  0.688
2008 Mukhopadhyay S, Khuri AI. Optimization in a multivariate generalized linear model situation Computational Statistics and Data Analysis. 52: 4625-4634. DOI: 10.1016/J.Csda.2008.04.001  0.623
2007 Mukhopadhyay S, Khuri AI. Bias in Multivariate Generalized Linear Models Calcutta Statistical Association Bulletin. 59: 87-106. DOI: 10.1177/0008068320070106  0.664
2006 Khuri AI, Mukhopadhyay S. GLM designs: The dependence on unknown parameters dilemma Response Surface Methodology and Related Topics. 203-223. DOI: 10.1142/9789812774736_0009  0.667
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