Current trends in Bayesian methodology with applications SK Upadhyay, U Singh, DK Dey, A Loganathan Chapman and Hall/CRC, New York, 2015 | 529* | 2015 |
Carcinoma of the gallbladder—is it a sequel of typhoid? VK Shukla, H Singh, M Pandey, SK Upadhyay, G Nath Digestive diseases and sciences 45 (5), 900-903, 2000 | 185 | 2000 |
Bayes inference in life testing and reliability via Markov chain Monte Carlo simulation SK Upadhyay, N Vasishta, AFM Smith Sankhyā: The Indian Journal of Statistics, Series A (1961-2002) 63 (1), 15-40, 2001 | 130 | 2001 |
A Bayes analysis of modified Weibull distribution via Markov chain Monte Carlo simulation SK Upadhyay, A Gupta Journal of Statistical Computation and Simulation 80 (3), 241-254, 2010 | 97 | 2010 |
Estimation of parameters for exponentiated-Weibull family under type-II censoring scheme U Singh, PK Gupta, SK Upadhyay Computational statistics & data analysis 48 (3), 509-523, 2005 | 83 | 2005 |
Weibull extension model: A Bayes study using Markov chain Monte Carlo simulation A Gupta, B Mukherjee, SK Upadhyay Reliability Engineering & System Safety 93 (10), 1434-1443, 2008 | 69 | 2008 |
Estimation of exponentiated Weibull shape parameters under LINEX loss function U Singh, PK Gupta, SK Upadhyay Communications in Statistics-Simulation and Computation 31 (4), 523-537, 2002 | 49 | 2002 |
Choice between Weibull and lognormal models: A simulation based Bayesian study SK Upadhyay, M Peshwani Communications in Statistics-Theory and Methods 32 (2), 381-405, 2003 | 42 | 2003 |
Estimation of three-parameter exponentiated-Weibull distribution under type-II censoring U Singh, PK Gupta, SK Upadhyay Journal of statistical planning and inference 134 (2), 350-372, 2005 | 41 | 2005 |
Estimation of exponential parameters under multiply type II censoring SK Upadhyay, U Singh, V Shastri Communications in Statistics-Simulation and Computation 25 (3), 801-815, 1996 | 33 | 1996 |
Bayesian analysis of inverse Gaussian non-linear regression by simulation SK Upadhyay, R Agrawal, AFM Smith Sankhyā: The Indian Journal of Statistics, Series B, 363-378, 1996 | 27 | 1996 |
Bayesian modeling of bathtub shaped hazard rate using various Weibull extensions and related issues of model selection SK Upadhyay, A Gupta, DK Dey Sankhya B 74, 15-43, 2012 | 24 | 2012 |
Assessing the value of the threshold parameter in the Weibull distribution using Bayes paradigm SK Upadhyay, B Mukherjee IEEE Transactions on Reliability 57 (3), 489-497, 2008 | 24 | 2008 |
Bayes analysis of some important lifetime models using MCMC based approaches when the observations are left truncated and right censored R Ranjan, R Sen, SK Upadhyay Reliability Engineering & System Safety 214, 107747, 2021 | 23 | 2021 |
Bayesian survival analysis of head and neck cancer data using lognormal model P Makkar, PK Srivastava, RS Singh, SK Upadhyay Communications in Statistics-Theory and Methods 43 (2), 392-407, 2014 | 23 | 2014 |
Modelling complexities in reliability, and the role of simulation in Bayesian computation SK Upadhyay, AFM Smith International Journal of Continuing Engineering Education and Life Long …, 1994 | 23 | 1994 |
Bayes shrinkage estimators of Weibull parameters M Pandey, SK Upadhyay IEEE transactions on reliability 34 (5), 491-494, 1985 | 23 | 1985 |
A Bayesian reweighting technique for small area estimation A Rahman, S Upadhyay Current trends in Bayesian methodology with applications, 503-519, 2015 | 21 | 2015 |
Bayesian analysis of generalized four-parameter Burr distribution via Gibbs sampler SK Upadhyay, IA Javed, M Peshwani Metron 62 (1), 115-135, 2004 | 19 | 2004 |
Posterior analysis of lognormal regression models using the Gibbs sampler SK Upadhyay, M Peshwani Statistical Papers 49 (1), 59, 2008 | 18 | 2008 |