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1 Ergebnisse
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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
Bayesian modelling of rainfall data by using non-homogeneous hidden Markov models and latent Gaussian variables
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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