Satyanshu Upadhyay
Satyanshu Upadhyay
Professor of Statistics, Banaras Hindu University
Verified email at bhu.ac.in
Title
Cited by
Cited by
Year
Current trends in bayesian methodology with applications
SK Upadhyay, U Singh, DK Dey, A Loganathan
CRC Press, 2015
260*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
1522000
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
992001
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
702010
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
702005
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
592008
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
472002
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
342005
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
342003
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
301996
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
231996
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
221994
Bayes shrinkage estimators of Weibull parameters
M Pandey, SK Upadhyay
IEEE transactions on reliability 34 (5), 491-494, 1985
221985
Bayesian analysis of generalized four-parameter Burr distribution via Gibbs sampler
SK Upadhyay, IA Javed, M Peshwani
Metron 62 (1), 115-135, 2004
192004
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 (1), 15-43, 2012
182012
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
182008
Posterior analysis of lognormal regression models using the Gibbs sampler
SK Upadhyay, M Peshwani
Statistical Papers 49 (1), 59-85, 2008
172008
Prediction limits for an exponential distribution: a Bayes predictive distribution approach
SK Upadhyay, M Pandey
IEEE transactions on reliability 38 (5), 599-602, 1989
161989
A Bayesian reweighting technique for small area estimation
A Rahman, S Upadhyay
Current trends in Bayesian methodology with applications, 503-519, 2015
152015
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
152014
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