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Dr Subbiah M
Dr Subbiah M
Data Scientist
Verified email at thinklabz.ai
Title
Cited by
Cited by
Year
Classification of 2× 2 sparse data sets with zero cells
M Subbiah, MR Srinivasan
Statistics & probability letters 78 (18), 3212-3215, 2008
272008
Fitting length of stay in hospitals using transformed distributions
S Harini, M Subbiah, MR Srinivasan
Communications in Statistics: Case Studies, Data Analysis and Applications 4 …, 2018
182018
Estimation of confidence intervals for Multinomial proportions of sparse contingency tables using Bayesian methods
U Sangeetha, M Subbiah, MR Srinivasan
International Journal of Scientific and Research Publications 3, 1-7, 2013
102013
A comparison of ordinal logistic regression models using Classical and Bayesian approaches in an analysis of factors associated with diabetic retinopathy
K Vaitheeswaran, M Subbiah, R Ramakrishnan, T Kannan
Journal of Applied Statistics 43 (12), 2254-2260, 2016
92016
Bayesian approach to multicentre sparse data
M Subbiah, BK Kumar, MR Srinivasan
Communications in Statistics—Simulation and Computation® 37 (4), 687-696, 2008
82008
Risk Score Estimation of Diabetic Retinopathy: Statistical Alte rnatives using Multiple Logistic Regression
V K, R Ramakrishnan, M Subbiah, R Raman
Journal of Biometrics & Biostatistics 5 (5), 1, 2014
7*2014
Sensitivity analysis of bayes factor for categorical data with emphasis on sparse multinomial data
U Sangeetha, M Subbiah, MR Srinivasan, B Nandram
Journal of Data Science 12 (2), 339-357, 2014
62014
Fitting Length of Stay by Multi Stage Classification of Covariates Using Transformed Gamma–Pareto Distribution
S Harini, M Subbiah, MR Srinivasan
Journal of the Indian Society for Probability and Statistics 20, 141-156, 2019
52019
Revisiting higher education data analysis: A Bayesian perspective
M Subbiah, MR Srinivasan, S Shanthi
International Journal of Science and Technology Education Research 2 (2), 32-38, 2011
52011
Identifying associated risk factors for severity of Diabetic Retinopathy from ordinal logistic regression models
R Kulothungan, V., Subbiah, M., Ramakrishnan, R., & Raman
Biostatistics & Epidemiology 2 (1), 2017
3*2017
Proportion: A comprehensive R package for inference on single Binomial proportion and Bayesian computations
M Subbiah, V Rajeswaran
SoftwareX 6, 36-41, 2017
32017
Bayesian Inference On Sparseness In 2x2 Contingency Tables And Its Application
M Subbiah
Chennai, 2009
32009
A random effect model for the evolution of international cricket test matches evidenced from 1870 to 2016
M Subbiah, V Rajeswaran
Stat. Appl 14 (2), 2016
12016
A Comprehensive Statistical Analysis on Information Search Behavior using Mediation Procedures
B Ravikumar, M Subbiah, R Ramakrishnan, AJ Verghese
nternational Journal of Statistika and Mathematika 10 (3), 61-69, 2014
12014
Detecting outliers in I× J tables through the level of susceptibility.
TP SRIPRIYA, MR SRINIVASAN, M SUBBIAH
Chilean Journal of Statistics (ChJS) 11 (1), 2020
2020
An application of transformed distribution: length of stay in hospitals
S Harini, M Subbiah, MR Srinivasan, M Gallo
Electronic Journal of Applied Statistical Analysis 12 (3), 691-704, 2019
2019
Modelling Length of Stay in Hospitals using Multinomial Regression
S Harini, M Subbiah, MR Srinivasan
International Journal of Computational and Theoretical Statistics 6 (2), 2019
2019
Performance Comparison of Heterogeneity Measures for Count Data Models in Bayesian Perspective
M Subbiah, R Renuka Devi, M Gallo, MR Srinivasan
New Statistical Developments in Data Science: SIS 2017, Florence, Italy …, 2019
2019
A Comparative Study on Methods for Measuring Heterogeneity in Binomial Proportion–Meta Analytic Approach
S Sakthivel, M Subbiah, R Ramakrishnan
International Journal of Computational and Theoretical Statistics 5 (01), 49-60, 2018
2018
Comparative Study on Estimation of Poisson Parameter in Decision Theoretic Approach
RR Devi, M Subbiah, MR Srinivasan
International Journal of Computational and Theoretical Statistics 4 (02 …, 2017
2017
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