Statistical modeling of rainfall in space-time scales is essential in providing information on the behavior of the rainfall process at a particular region. One of the conventional ways of rainfall modeling is done through studies of the probabilistic structure of the rainfall. In the last decade, many statistical rainfall models were done regardless of the atmospheric information. A model which succeeded in incorporating atmospheric information will be useful in studies of climate variability or climate change. Therefore, this study applied the hidden Markov model (HMM) and non-homogeneous hidden Markov model (NHMM) to model daily rainfall of 40 stations in Peninsular Malaysia over a period of 34 years during the Northeast monsoon and South...
The need for a reliable rainfall model to produce accurate simulation of rainfall series is imperat...
The modeling of the rainfall process has been of interest in simulation studies to assess its impact...
An application of stochastic process for describing and analysing daily the rainfall pattern at Univ...
The non-homogeneous hidden Markov model (NHMM) generates the rainfall observation depends on few wea...
The non-homogeneous hidden Markov model (NHMM) generates the rainfall observation depends on few wea...
This study involves the modelling of a homogeneous hidden Markov model (HMM) on the northeast rainfa...
Two new spatio-temporal hidden Markov models (HMM) are introduced in this thesis, with the purpose o...
PhD ThesisMulti-site statistical models for daily rainfall should account for spatial and temporal d...
In terms of climate change and precipitation, there is large interest in how large-scale climatic fe...
The hidden Markov framework is adapted to construct a compelling model for simulation of sub-daily r...
In terms of climate change and precipitation, there is large interest in how large-scale climatic fe...
Basic hidden Markov models are very useful in stochastic environmental research but their ability to...
Abstract: In the past, stochastic modelling approaches generally assumed no variation in the paramet...
This is the author accepted manuscript. The final version is available on open access from Elsevier ...
A 70-year record of daily monsoon-season rainfall at a network of 13 stations in central western Ind...
The need for a reliable rainfall model to produce accurate simulation of rainfall series is imperat...
The modeling of the rainfall process has been of interest in simulation studies to assess its impact...
An application of stochastic process for describing and analysing daily the rainfall pattern at Univ...
The non-homogeneous hidden Markov model (NHMM) generates the rainfall observation depends on few wea...
The non-homogeneous hidden Markov model (NHMM) generates the rainfall observation depends on few wea...
This study involves the modelling of a homogeneous hidden Markov model (HMM) on the northeast rainfa...
Two new spatio-temporal hidden Markov models (HMM) are introduced in this thesis, with the purpose o...
PhD ThesisMulti-site statistical models for daily rainfall should account for spatial and temporal d...
In terms of climate change and precipitation, there is large interest in how large-scale climatic fe...
The hidden Markov framework is adapted to construct a compelling model for simulation of sub-daily r...
In terms of climate change and precipitation, there is large interest in how large-scale climatic fe...
Basic hidden Markov models are very useful in stochastic environmental research but their ability to...
Abstract: In the past, stochastic modelling approaches generally assumed no variation in the paramet...
This is the author accepted manuscript. The final version is available on open access from Elsevier ...
A 70-year record of daily monsoon-season rainfall at a network of 13 stations in central western Ind...
The need for a reliable rainfall model to produce accurate simulation of rainfall series is imperat...
The modeling of the rainfall process has been of interest in simulation studies to assess its impact...
An application of stochastic process for describing and analysing daily the rainfall pattern at Univ...