Fitting a multisite daily rainfall model to New Zealand data

Journal of Hydrology

Volumn 340, Issue 1-2, 2007, Pages 25-39

  Thompson, Craig S ^a   Thomson, Peter J ^b   Zheng, Xiaogu ^a  

^a NATIONAL INSTITUTE OF WATER AND ATMOSPHERIC RESEARCH   (New Zealand)

^b Statistics Research Associates   (New Zealand)

Author keywords

EM Algorithm; Hidden Markov model; Maximum likelihood; Multisite daily precipitation; New Zealand rainfall data; Wilks model

Indexed keywords

ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD; OPTIMIZATION; PARAMETER ESTIMATION;

EM ALGORITHM; HIDDEN MARKOV MODEL; MULTISITE DAILY PRECIPITATION; WILKS MODEL;

RAIN;

ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD; OPTIMIZATION; PARAMETER ESTIMATION; RAIN;

ALGORITHM; DATA SET; ESTIMATION METHOD; HYDROLOGICAL MODELING; PRECIPITATION (CLIMATOLOGY); STOCHASTICITY;

AUSTRALASIA; NEW ZEALAND;

EID: 34249883548     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.03.020     Document Type: Article

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