| Bayesian analysis for masked system failure data using non-identical Weibull models S Basu, PB Asit, C Mukhopadhyay Journal of Statistical Planning and Inference 78 (1-2), 255-275, 1999 | 80 | 1999 |
| Equity market interlinkages: Transmission of volatility-A case of US and India KK Kumar, C Mukhopadyay NSE, India Research paper, Source: www. nseindia. com, 2002 | 63 | 2002 |
| A Case of US and India KK Kumar, C Mukhopadhyay NSE Research Paper 16, 2002 | 56 | 2002 |
| Maximum likelihood analysis of masked series system lifetime data C Mukhopadhyay Journal of statistical planning and inference 136 (3), 803-838, 2006 | 53 | 2006 |
| Bayesian analysis of incomplete time and cause of failure data C Mukhopadhyay, AP Basu Journal of Statistical Planning and Inference 59 (1), 79-100, 1997 | 46 | 1997 |
| Bayesian analysis of masked series system lifetime data C Mukhopadhyay, S Basu Communications in Statistics—Theory and Methods 36 (2), 329-348, 2007 | 37 | 2007 |
| Pixel based fusion using IKONOS imagery U Kumar, C Mukhopadhyay, TV Ramachandra International Journal of Recent Trends in Engineering 1 (1), 173, 2009 | 34 | 2009 |
| Impact of futures introduction on underlying index volatility: Evidence from India. KK Kumar, C Mukhopadyay Journal of Management Science 1 (1), 2007 | 21 | 2007 |
| Bayesian accelerated life testing under competing log-location-scale family of causes of failure C Mukhopadhyay, S Roy Computational Statistics 31, 89-119, 2016 | 20 | 2016 |
| Volatility Spillovers from the US to Indian Stock Market: A Comparison of GARCH Models. KK Kumar, C Mukhopadhyay ICFAI Journal of Financial Economics 5 (4), 2007 | 19 | 2007 |
| Comparison of 10 multi-sensor image fusion paradigms for IKONOS images U Kumar, A Dasgupta, C Mukhopadhyay, NV Joshi, TV Ramachandra International Journal of Research and Reviews in Computer Science 2 (1), 40, 2011 | 18 | 2011 |
| A neural network based hybrid mixture model to extract information from non-linear mixed pixels U Kumar, KS Raja, C Mukhopadhyay, TV Ramachandra Information 3 (3), 420-441, 2012 | 17 | 2012 |
| Hybrid Bayesian classifier for improved classification accuracy U Kumar, SK Raja, C Mukhopadhyay, TV Ramachandra IEEE Geoscience and Remote Sensing Letters 8 (3), 474-477, 2010 | 17 | 2010 |
| A Bayesian approach to the estimation of change-point in a hazard rate JK Ghosh, SN Joshi, C Mukhopadhyay Advances in Reliability, 141-170, 1993 | 17 | 1993 |
| Cellular automata and Genetic Algorithms based urban growth visualization for appropriate land use policies U Kumar, C Mukhopadhyay, TV Ramachandra, ST Infrastructure, ... The Fourth Annual International Conference on Public Policy and Management …, 2009 | 15 | 2009 |
| Fusion of multisensor data: review and comparative analysis U Kumar, C Mukhopadhyay, TV Ramachandra 2009 WRI Global Congress on Intelligent Systems 2, 418-422, 2009 | 14 | 2009 |
| Maximum likelihood analysis of multi-stress accelerated life test data of series systems with competing log-normal causes of failure S Roy, C Mukhopadhyay Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2015 | 13 | 2015 |
| An analysis of patent pricing. M Mathew, C Mukhopadhyay, D Raju, SS Nair, D Nag Decision (0304-0941) 39 (1), 2012 | 13 | 2012 |
| Bayesian accelerated life testing under competing Weibull causes of failure S Roy, C Mukhopadhyay Communications in Statistics-Theory and Methods 43 (10-12), 2429-2451, 2014 | 12 | 2014 |
| Cellular automata calibration model to capture urban growth U Kumar, C Mukhopadhyay, TV Ramachandra Boletín Geológico y Minero 125 (3), 285-299, 2014 | 12 | 2014 |