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A Bayesian semi-parametric approach to extreme regime ident..:

do Nascimento, Fernando Ferraz ; Gamerman, Dani ; Davis, Richard
Brazilian Journal of Probability and Statistics. 30 (2016) 4 - p. 540-561 , 2016

Link: http://www.jstor.org/stable/24913882

RT Journal
T1 <Title>A Bayesian semi-parametric approach to extreme regime identification</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-24913882&Exemplar=1&LAN=DE
				
A1 do Nascimento, Fernando Ferraz
A1 Gamerman, Dani
A1 Davis, Richard
PB Brazilian Statistical Association
YR 2016
SN 0103-0752
SN 2317-6199
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Descriptive statistics
K1 Measures of variability
K1 Sample size
K1 Behavioral sciences
K1 Psychology
K1 Cognitive psychology
K1 Cognitive processes
K1 Thought processes
K1 Reasoning
K1 Inference
K1 Applied sciences
K1 Research methods
K1 Modeling
K1 Simulations
K1 Information science
K1 Data products
K1 Datasets
K1 Environmental studies
K1 Atmospheric sciences
K1 Meteorology
K1 Hydrometeorology
K1 Precipitation
K1 Rain
K1 Rainfall
K1 Statistical results
K1 Statistical properties
K1 Statistical discrepancies
K1 Statistical distributions
K1 Distribution functions
K1 Pure mathematics
K1 Discrete mathematics
K1 Graph theory
K1 Bar graphs
K1 Histograms
K1 Analytics
K1 Analytical estimating
K1 Environmental sciences
JF Brazilian Journal of Probability and Statistics
VO 30
IS 4
SP 540
OP 561
LK http://www.jstor.org/stable/24913882
DO http://www.jstor.org/stable/24913882
SF ELIB - SuUB Bremen

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