Items where Author is "Ramesh, N.I."
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
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)
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
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)
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
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)
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
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)
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
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)
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
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.
generalized extreme value distribution
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)
generalized extreme-value distribution
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)
generalized Pareto distribution
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)
hidden Markov 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)
hitting times
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)
intensity
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)
likelihood function
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)
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)
likelihood ratio test
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)
local likelihood
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)
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)
local polynomial fitting
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)
Markov branching 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)
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)
Markov modulated Poisson process
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)
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
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)
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)
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)
MMPP
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)
models
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)
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
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)
partial duration series
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)
permutation test
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)
Point process
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)
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)
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)
Precipitation
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)
rainfall
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)
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
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)
rainfall intensity
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)
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)
rainfall modelling
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)
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)
random time change
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)
rectangular pulse model
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)
regional precipitation series
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)
regularity and uniqueness
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)
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
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.
Stochastic models
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)
Stochastic point processes
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.
Sub-hourly rainfall
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)
temperature data
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)
tip times
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)
uniqueness
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)
weighted Markov branching 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)
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)
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