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Bayesian modelling of rainfall data by using non-homogeneou..:

Heaps, Sarah E. ; Boys, Richard J. ; Farrow, Malcolm
Journal of the Royal Statistical Society. Series C (Applied Statistics). 64 (2015) 3 - p. 543-568 , 2015

Link: http://www.jstor.org/stable/24773001

RT Journal
T1 <Title>Bayesian modelling of rainfall data by using non-homogeneous hidden Markov models and latent Gaussian variables</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-24773001&Exemplar=1&LAN=DE
				
A1 Heaps, Sarah E.
A1 Boys, Richard J.
A1 Farrow, Malcolm
PB John Wiley & Sons Ltd
YR 2015
SN 0035-9254
SN 1467-9876
K1 Environmental studies
K1 Atmospheric sciences
K1 Meteorology
K1 Hydrometeorology
K1 Precipitation
K1 Rain
K1 Rainfall
K1 Meteorological phenomena
K1 Weather
K1 Applied sciences
K1 Research methods
K1 Modeling
K1 Predictive modeling
K1 Meteorological research
K1 Atmospheric models
K1 Mathematics
K1 Pure mathematics
K1 Linear algebra
K1 Matrix theory
K1 Matrices
K1 Covariance matrices
K1 Probability theory
K1 Stochastic models
K1 Markov models
K1 Information science
K1 Information management
K1 Data management
K1 Data architecture
K1 Data models
K1 Information analysis
K1 Data analysis
K1 Spatial models
K1 Climatology
K1 Climate models
JF Journal of the Royal Statistical Society. Series C (Applied Statistics)
VO 64
IS 3
SP 543
OP 568
LK http://www.jstor.org/stable/24773001
DO http://www.jstor.org/stable/24773001
SF ELIB - SuUB Bremen

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