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Items where Greenwich Author is "Ramesh, Dr. Nadarajah"

Items where Greenwich Author is "Ramesh, Dr. Nadarajah"

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Jump to: Bootstrap confidence bands; Generalized extreme-value distribution; Local likelihood; Return level; Semi-parametric modelling; Trend analysis | Conditional intensity; Doubly stochastic Poisson process; maximum likelihood; Point process; Spectral density | Doubly Stochastic Poisson process, Fine-scale rainfall, Point process, Stochastic models, Rainfall pulse | Doubly stochastic, Point process, Rainfall intensity, Exponential pulse, Accumulated rainfall | Employability, Professional body, Employer engagement, Mathematics, Graduates skills | Hidden Markov models, Additional dependence, Rainfall, Maximum likelihood | Hidden Markov models, Rainfall modelling, Maximum likelihood, Precipitation series | Involvement in learning, interaction in class | Markov branching process, weighted Markov branching process, regularity and uniqueness, extinction, explosion | Minitab, teaching, learning, statistics, mathematics, undergraduate programmes | Moment properties; Point process; Precipitation; Rainfall generator; Stochastic models; Sub-hourly rainfall | Point process models, Doubly stochastic, Precipitation, Rainfall, Maximum likelihood | Seasonal rainfall, Point process model, Doubly stochastic | Short-term rainfall, Cox process, Point process models, Second-order properties, Cluster-based models | Stochastic calcium waves, Ca2+ sparks and blinks, curvilinear domain. | Stochastic point process models, Doubly stochastic Poisson process, Rainfall, Raingauge, Bucket tip-times | Stochastic point processes; rainfall data | Wireless hand-held device; student engagement in class | accumulated rainfall, likelihood function, Markov modulated Poisson process, point process, rainfall intensity, | additional dependence models, daily rainfall, hidden Markov models, maximum likelihood, rainfall modelling, regional precipitation series | annual maximum method, bootstrap, generalized extreme-value distribution, generalized Pareto distribution, local likelihood, partial duration series | assessment methods, undergraduate, learning, statistics, mathematics | bootstrap, generalized extreme value distribution, local likelihood, local polynomial fitting, permutation test, temperature data | bucket-tip, covariates, Cox model, fine-scale modelling, seasonal rainfall | compound Poisson process, hitting times, Markov branching process, random time change, uniqueness, weighted Markov branching process, | covariates, likelihood function, likelihood ratio test, MMPP, rainfall intensity, tip times | discretized series of events, models | doubly stochastic Poisson process, rainfall modelling, maximum likelihood, multi-site models, bucket tip-time series, fine-scale rainfall, | doubly stochastic; rainfall modelling; seasonal rainfall; fine-scale rainfall | forest fire, extremes, semi-parametric smoothing, wildland | learning experience, student engagement, interaction, mathematics, EVS, employability | mathematics, | pollution exposure, pollution, roads, asthma | precipitation, doubly stochastic, tip-times, rainfall intensity, fine-time scale | rainfall, Cox process, intensity, rectangular pulse model, maximum likelihood, point process | statistics, forest fires, forestry | statistics, graphical insight, learning process | stochastic modelling, rainfall, tipping-bucket
Number of items: 38.

Bootstrap confidence bands; Generalized extreme-value distribution; Local likelihood; Return level; Semi-parametric modelling; Trend analysis

Ramesh, N. I. and Davison, A. C. (2000) Semi-parametric modelling of trend in extremes. In: International Conference on Order Statistics & Extreme Values, 18-20 December 2000, Mysore, India. (Unpublished)

Conditional intensity; Doubly stochastic Poisson process; maximum likelihood; Point process; Spectral density

Ramesh, N. I. (1995) Statistical analysis on Markov-modulated Poisson processes. Environmetrics, 6 (2). pp. 165-179. ISSN 1180-4009 (Print), 1099-095X (Online) (doi:https://doi.org/10.1002/env.3170060207)

Doubly Stochastic Poisson process, Fine-scale rainfall, Point process, Stochastic models, Rainfall pulse

Ramesh, N. I. and Thayakaran, R. (2012) Stochastic point process model for fine-scale rainfall time series. In: Proceedings of the international conference on stochastic modelling techniques and data analysis. Electronic proceedings, pp. 635-642.

Doubly stochastic, Point process, Rainfall intensity, Exponential pulse, Accumulated rainfall

Ramesh, N. I., Garthwaite, A and Onof, C. (2017) A doubly stochastic rainfall model with exponentially decaying pulses. Stochastic Environmental Research and Risk Assessment, 32 (6). pp. 1645-1664. ISSN 1436-3240 (Print), 1436-3259 (Online) (doi:https://doi.org/10.1007/s00477-017-1483-z)

Employability, Professional body, Employer engagement, Mathematics, Graduates skills

Ramesh, Nadarajah, Mann, Tony and Parrot, Kevin (2014) Extracurricular activities to enhance the employment outcomes of Mathematics graduates. In: HEA STEM Annual Learning and Teaching Conference: Enhancing the STEM Student Journey. The Higher Education Academy, Edinburgh.

Hidden Markov models, Additional dependence, Rainfall, Maximum likelihood

Ramesh, Nadarajah (2015) Some hidden Markov models with additional dependence. In: European Meeting of Statisticians (EMS) 2015, July 6, 2015 - July 10, 2015, VU University Amsterdam, Netherlands. (Unpublished)

Hidden Markov models, Rainfall modelling, Maximum likelihood, Precipitation series

Ramesh, Nadarajah (2011) Hidden Markov Models incorporating additional dependence in regional rainfall modelling. In: 2011 Joint Statistical Meetings (JSM2011), July 30–August 4, 2011, Miami Beach, Florida, USA.

Involvement in learning, interaction in class

Ramesh, Nadarajah (2011) Impact of audience response system in first year statistics lessons: click or not to click. MSOR Connections, 11 (2). pp. 29-31. ISSN 1473-4869

Markov branching process, weighted Markov branching process, regularity and uniqueness, extinction, explosion

Chen, Anyue, Li, Junping and Ramesh, N.I. (2005) Uniqueness and extinction of weighted Markov branching processes. Methodology and Computing in Applied Probability, 7 (4). pp. 489-516. ISSN 1387-5841 (Print), 1573-7713 (Online) (doi:https://doi.org/10.1007/s11009-005-5005-y)

Minitab, teaching, learning, statistics, mathematics, undergraduate programmes

Ramesh, Nadarajah (2009) The role of Minitab in teaching and learning statistics. MSOR Connections, 9 (3). pp. 9-13. ISSN 1473-4869

Moment properties; Point process; Precipitation; Rainfall generator; Stochastic models; Sub-hourly rainfall

Thayakaran, R. and Ramesh, N.I. (2016) Doubly stochastic Poisson pulse model for fine-scale rainfall. Stochastic Environmental Research and Risk Assessment, 31 (3). pp. 705-724. ISSN 1436-3240 (Print), 1436-3259 (Online) (doi:https://doi.org/10.1007/s00477-016-1270-2)

Point process models, Doubly stochastic, Precipitation, Rainfall, Maximum likelihood

Ramesh, N. I., Onof, C. and Xie, D. (2010) Precipitation modelling using doubly stochastic point process models at fine time-scale. In: 10th International Precipitation Conference (IPC10), 23-25 June 2010, Coimbra, Portugal.

Seasonal rainfall, Point process model, Doubly stochastic

Ramesh, Nadarajah and Garthwaite, Andrew (2016) Modelling seasonal rainfall at fine time-scales using doubly stochastic Poisson processes. In: 28th International Biometric Conference 2016, July 10-15, 2016, Victoria, British Columbia, Canada. (Unpublished)

Short-term rainfall, Cox process, Point process models, Second-order properties, Cluster-based models

Ramesh, Nadarajah I. (1995) Point process models for short-term rainfall. In: 23rd Conference on Stochastic Processes and their Applications, 19-23 June 1995, Singapore. (Unpublished)

Stochastic calcium waves, Ca2+ sparks and blinks, curvilinear domain.

Arif, Serife, Lai, Choi-Hong ORCID: 0000-0002-7558-6398 and Ramesh, Nadarajah I. (2019) Estimation of stochastic behaviour in cardiac myocytes: I. Calcium Ca2+ movements inside the cytosol and sarcoplasmic reticulum on curvilinear domains. JRSM Cardiovascular Disease, 8. ISSN 2048-0040 (Print), 2048-0040 (Online) (doi:https://doi.org/10.1177/2048004018822428)

Stochastic point process models, Doubly stochastic Poisson process, Rainfall, Raingauge, Bucket tip-times

Ramesh, Nadarajah (2013) Modelling multi-site rainfall time series using stochastic point process models. In: 29th European Meeting of Statisticians 2013, 20-25 July, 2013, Budapest, Hungary.. (Unpublished)

Stochastic point processes; rainfall data

Ramesh, N.I., Onof, C. and Thayakaran, R. (2014) Models for fine-scale precipitation relevant to urban catchment applications. In: European Geosciences Union (EGU) General Assembly, 27 April – 2 May 2014, Vienna, Austria.

Wireless hand-held device; student engagement in class

Ramesh, Nadarajah (2011) Use of technology to enhance teaching and learning in mathematics and statistics. MSOR Connections, 11 (1). pp. 34-36. ISSN 1473-4869

accumulated rainfall, likelihood function, Markov modulated Poisson process, point process, rainfall intensity,

Thayakaran, R. and Ramesh, N.I. (2013) Multivariate models for rainfall based on Markov modulated Poisson processes. Hydrology Research, 44 (4). pp. 631-643. ISSN 0029-1277 (Print), 2224-7955 (Online) (doi:https://doi.org/10.2166/nh.2013.180)

additional dependence models, daily rainfall, hidden Markov models, maximum likelihood, rainfall modelling, regional precipitation series

Ramesh, N.I. and Onof, C. (2014) A class of hidden Markov models for regional average rainfall. Hydrological Sciences Journal, 59 (9). pp. 1704-1717. ISSN 0262-6667 (Print), 2150-3435 (Online) (doi:https://doi.org/10.1080/02626667.2014.881484)

annual maximum method, bootstrap, generalized extreme-value distribution, generalized Pareto distribution, local likelihood, partial duration series

Ramesh, N.I. and Davison, A.C. (2001) Local models for exploratory analysis of hydrological extremes. Journal of Hydrology, 256 (1-2). pp. 106-119. ISSN 0022-1694 (doi:https://doi.org/10.1016/S0022-1694(01)00522-4)

assessment methods, undergraduate, learning, statistics, mathematics

Ramesh, Nadarajah (2009) Some issues on assessment methods and learning in mathematics and statistics. MSOR Connections, 9 (4). pp. 28-31. ISSN 1473-4869

bootstrap, generalized extreme value distribution, local likelihood, local polynomial fitting, permutation test, temperature data

Davison, A.C. and Ramesh, N.I. (2000) Local likelihood smoothing of sample extremes. Journal of the Royal Statistical Society: Series B (Statistical Methodology, 62 (1). pp. 191-208. ISSN 1369-7412 (Print), 1467-9868 (Online) (doi:https://doi.org/10.1111/1467-9868.00228)

bucket-tip, covariates, Cox model, fine-scale modelling, seasonal rainfall

Garthwaite, Andrew P. and Ramesh, N. I. (2018) Parsimonious modelling of winter season rainfall incorporating reanalysis climatological data. Hydrology Research, 49 (6). pp. 2030-2045. ISSN 0029-1277 (doi:https://doi.org/10.2166/nh.2018.012)

compound Poisson process, hitting times, Markov branching process, random time change, uniqueness, weighted Markov branching process,

Chen, Anyue, Li, Junping and Ramesh, N.I. (2007) Probabilistic approach in weighted Markov branching processes. Statistics & Probability Letters, 78 (6). pp. 771-779. ISSN 0167-7152 (doi:https://doi.org/10.1016/j.spl.2007.09.043)

covariates, likelihood function, likelihood ratio test, MMPP, rainfall intensity, tip times

Thayakaran, R. and Ramesh, N.I. (2013) Markov modulated Poisson process models incorporating covariates for rainfall intensity. Water Science & Technology, 67 (8). pp. 1786-1792. ISSN 0273-1223 (doi:https://doi.org/10.2166/wst.2013.056)

discretized series of events, models

Davison, A.C. and Ramesh, N.I. (1996) Some models for discretized series of events. Journal of the American Statistical Association, 91 (434). pp. 601-609. ISSN 0162-1459 (Print), 1537-274X (Online) (doi:https://doi.org/10.1080/01621459.1996.10476929)

doubly stochastic Poisson process, rainfall modelling, maximum likelihood, multi-site models, bucket tip-time series, fine-scale rainfall,

Ramesh, N.I., Thayakaran, R. and Onof, C. (2012) Multi-site doubly stochastic Poisson process models for fine-scale rainfall. Stochastic Environmental Research and Risk Assessment, 27 (6). pp. 1383-1396. ISSN 1436-3240 (Print), 1436-3259 (Online) (doi:https://doi.org/10.1007/s00477-012-0674-x)

doubly stochastic; rainfall modelling; seasonal rainfall; fine-scale rainfall

Ramesh, Nadarajah and Garthwaite, Andrew (2017) Some stochastic models for seasonal rainfall at fine time-scales. In: 39th Conference on Stochastic Processes and their Applications, July 24 - 28, 2017, Moscow, Russia. (Unpublished)

forest fire, extremes, semi-parametric smoothing, wildland

Ramesh, N.I. (2005) Semi-parametric analysis of extreme forest fires. Forest Biometry Modelling and Information Science, 1. pp. 1-10. ISSN 1740-5955

learning experience, student engagement, interaction, mathematics, EVS, employability

Ramesh, Nadarajah (2012) Enhancing the student learning experience through greater engagement and interaction in Mathematics and Statistics. In: STEM Annual Conference 2012: Aiming for excellence in STEM learning and teaching. Proceedings. The Higher Education Academy, London / York. ISBN 9781907207457

mathematics,

Bradshaw, Noel-Ann, George, E. ORCID: 0000-0001-9011-3970, Lakin, Steve, Mann, Tony and Ramesh, N.I. (2012) Breadth versus depth: a new first year module providing an introduction to the range of mathematics. In: CETL-MSOR Conference 2011: Conference Proceedings. The Maths, Stats & OR Network, 2012, pp. 28-32. ISBN 978-0-9569171-2-6

pollution exposure, pollution, roads, asthma

Rennolls, Keith, Zhang, Yong, Ramesh, Nadarajah, Chen, Anyue and Patel, Swatee (1998) Spatial models of pollution exposure from a road network: the effect on asthma. In: Barnett, Vic, Stein, Albert and Turkman, K. Feridun, (eds.) Statistical Aspects of Health and the Environment. Statistics for the Environment (4). Wiley-Blackwell, Chichester, UK, pp. 137-150. ISBN 9780471976455

precipitation, doubly stochastic, tip-times, rainfall intensity, fine-time scale

Ramesh, Nadarajah I., Onof, Christian and Xie, Dichao (2011) Doubly stochastic Poisson process models for precipitation at fine time-scales. Advances in Water Resources, 45. pp. 58-64. ISSN 0309-1708 (doi:https://doi.org/10.1016/j.advwatres.2011.09.017)

rainfall, Cox process, intensity, rectangular pulse model, maximum likelihood, point process

Ramesh, N.I. (1998) Temporal modelling of short-term rainfall using Cox processes. Environmetrics, 9 (6). pp. 629-643. ISSN 1180-4009 (Print), 1099-095X (Online) (doi:https://doi.org/10.1002/(SICI)1099-095X(199811/12)9:6<629::AID-ENV327>3.0.CO;2-4)

statistics, forest fires, forestry

Ramesh, N.I. (2001) Statistical analysis of extreme forest fires. In: Proceedings: Forest Biometry, Modelling and Information Systems. Proceedings: Forest Biometry, Modelling and Information Systems, Greenwich, London, UK.

statistics, graphical insight, learning process

Ramesh, Nadarajah (2010) An illustration oriented approach in statistics education. In: CETL-MSOR Conference 2009: Conference Proceedings. The Maths, Stats & OR Network, Birmingham, UK, pp. 117-122. ISBN 978-0-9555914-7-1

stochastic modelling, rainfall, tipping-bucket

Onof, C., Yameundjeu, B., Paoli, J.-P. and Ramesh, N. (2002) A Markov modulated Poisson process model for rainfall increments. Water Science and Technology, 45 (2). pp. 91-97. ISSN 0273-1223

This list was generated on Sun Aug 25 04:48:08 2019 UTC.