| Local likelihood smoothing of sample extremes AC Davison, NI Ramesh Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000 | 221 | 2000 |
| Local models for exploratory analysis of hydrological extremes NI Ramesh, AC Davison Journal of Hydrology 256 (1-2), 106-119, 2002 | 98 | 2002 |
| Statistical analysis on markov‐modulated poisson processes NI Ramesh Environmetrics 6 (2), 165-179, 1995 | 33 | 1995 |
| Uniqueness and extinction of weighted Markov branching processes A Chen, J Li, NI Ramesh Methodology and Computing in Applied Probability 7, 489-516, 2005 | 29 | 2005 |
| Some models for discretized series of events AC Davison, NI Ramesh Journal of the American Statistical Association 91 (434), 601-609, 1996 | 29 | 1996 |
| A comparison of time-series predictions for healthcare emergency department indicators and the impact of COVID-19 D Duarte, C Walshaw, N Ramesh Applied Sciences 11 (8), 3561, 2021 | 25 | 2021 |
| Multi-site doubly stochastic Poisson process models for fine-scale rainfall NI Ramesh, R Thayakaran, C Onof Stochastic environmental research and risk assessment 27, 1383-1396, 2013 | 22 | 2013 |
| Temporal modelling of short‐term rainfall using Cox processes NI Ramesh Environmetrics: The official journal of the International Environmetrics …, 1998 | 21 | 1998 |
| A Markov modulated Poisson process model for rainfall increments C Onof, B Yameundjeu, JP Paoli, N Ramesh Water science and technology 45 (2), 91-97, 2002 | 19 | 2002 |
| Doubly stochastic Poisson process models for precipitation at fine time-scales NI Ramesh, C Onof, D Xie Advances in water resources 45, 58-64, 2012 | 18 | 2012 |
| Multivariate models for rainfall based on Markov modulated Poisson processes R Thayakaran, NI Ramesh Hydrology Research 44 (4), 631-643, 2013 | 11 | 2013 |
| General Harris regularity criterion for non-linear Markov branching processes A Chen, J Li, NI Ramesh Statistics & probability letters 76 (5), 446-452, 2006 | 11 | 2006 |
| A stochastic model for times of exposures to air pollution from a point source AC Davison, NI Ramesh, V Barnett, KF Turkman Statistics for the Environment, 123-138, 1993 | 11 | 1993 |
| Semi-parametric analysis of extreme forest fires NI Ramesh Forest Biometry Modelling and Information Science 1, 1-10, 2005 | 10 | 2005 |
| A doubly stochastic rainfall model with exponentially decaying pulses NI Ramesh, AP Garthwaite, C Onof Stochastic environmental research and risk assessment 32, 1645-1664, 2018 | 9 | 2018 |
| A class of hidden Markov models for regional average rainfall NI Ramesh, C Onof Hydrological Sciences Journal 59 (9), 1704-1717, 2014 | 7 | 2014 |
| Doubly stochastic Poisson pulse model for fine-scale rainfall R Thayakaran, NI Ramesh Stochastic Environmental Research and Risk Assessment 31, 705-724, 2017 | 6 | 2017 |
| Markov modulated Poisson process models incorporating covariates for rainfall intensity R Thayakaran, NI Ramesh Water science and technology 67 (8), 1786-1792, 2013 | 6 | 2013 |
| Use of technology to enhance teaching and learning in mathematics and statistics N Ramesh MSOR Connections 11 (1), 34-36, 2011 | 5 | 2011 |
| Some issues on assessment methods and learning in mathematics and statistics N Ramesh MSOR Connections 9 (4), 28-31, 2009 | 5 | 2009 |
