Items where Author is "Ramesh, N.I."

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accumulated rainfall additional dependence models annual maximum method bootstrap bucket tip-time series compound Poisson process covariates Cox process daily rainfall discretized series of events doubly stochastic Poisson process explosion extinction extremes fine-scale rainfall forest fire forest fires forestry generalized extreme value distribution generalized extreme-value distribution generalized Pareto distribution hidden Markov models hitting times intensity likelihood function likelihood ratio test local likelihood local polynomial fitting Markov branching process Markov modulated Poisson process mathematics maximum likelihood MMPP models Moment properties multi-site models partial duration series permutation test Point process Precipitation rainfall rainfall data Rainfall generator rainfall intensity rainfall modelling random time change rectangular pulse model regional precipitation series regularity and uniqueness semi-parametric smoothing statistics Stochastic models Stochastic point processes Sub-hourly rainfall temperature data tip times uniqueness weighted Markov branching process wildland

Number of items: 70.

accumulated rainfall

Thayakaran, R. and Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (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:10.2166/nh.2013.180)

additional dependence models

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 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:10.1080/02626667.2014.881484)

annual maximum method

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 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:10.1016/S0022-1694(01)00522-4)

bootstrap

Davison, A.C. and Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (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:10.1111/1467-9868.00228)

bucket tip-time series

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557, 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:10.1007/s00477-012-0674-x)

compound Poisson process

Chen, Anyue, Li, Junping and Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (2007) Probabilistic approach in weighted Markov branching processes. Statistics & Probability Letters, 78 (6). pp. 771-779. ISSN 0167-7152 (doi:10.1016/j.spl.2007.09.043)

covariates

Thayakaran, R. and Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (2013) Markov modulated Poisson process models incorporating covariates for rainfall intensity. Water Science & Technology, 67 (8). pp. 1786-1792. ISSN 0273-1223 (doi:10.2166/wst.2013.056)

Cox process

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (1998) Temporal modelling of short-term rainfall using Cox processes. Environmetrics, 9 (6). pp. 629-643. ISSN 1180-4009 (Print), 1099-095X (Online) (doi:10.1002/(SICI)1099-095X(199811/12)9:6<629::AID-ENV327>3.0.CO;2-4)

daily rainfall

discretized series of events

Davison, A.C. and Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (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:10.1080/01621459.1996.10476929)

doubly stochastic Poisson process

explosion

Chen, Anyue, Li, Junping and Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (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:10.1007/s11009-005-5005-y)

extinction

extremes

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (2005) Semi-parametric analysis of extreme forest fires. Forest Biometry Modelling and Information Science, 1. pp. 1-10. ISSN 1740-5955

fine-scale rainfall

forest fire

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (2005) Semi-parametric analysis of extreme forest fires. Forest Biometry Modelling and Information Science, 1. pp. 1-10. ISSN 1740-5955

forest fires

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (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.

forestry

generalized extreme value distribution

generalized extreme-value distribution

generalized Pareto distribution

hidden Markov models

hitting times

intensity

likelihood function

likelihood ratio test

local likelihood

local polynomial fitting

Markov branching process

Markov modulated Poisson process

mathematics

Bradshaw, Noel-Ann, George, E. ORCID: https://orcid.org/0000-0001-9011-3970, Lakin, Steve, Mann, Tony and Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (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

maximum likelihood

MMPP

models

Moment properties

Thayakaran, R. and Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (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:10.1007/s00477-016-1270-2)

multi-site models

partial duration series

permutation test

Point process

Precipitation

rainfall

rainfall data

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557, 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.

Rainfall generator

rainfall intensity

rainfall modelling

random time change

rectangular pulse model

regional precipitation series

regularity and uniqueness

semi-parametric smoothing

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (2005) Semi-parametric analysis of extreme forest fires. Forest Biometry Modelling and Information Science, 1. pp. 1-10. ISSN 1740-5955

statistics

Stochastic models

Stochastic point processes

Sub-hourly rainfall

temperature data

tip times

uniqueness

weighted Markov branching process

wildland

Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (2005) Semi-parametric analysis of extreme forest fires. Forest Biometry Modelling and Information Science, 1. pp. 1-10. ISSN 1740-5955

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