Výsledky vyhledávání - "Chakkrapong Taewichit"

Optimal stochastic multi-states first-order Markov chain parameters for synthesizing daily rainfall data using multi-objective differential evolution in Thailand

Autor: H. P. W. Jayasuriya, V. M. Salokhe, Peeyush Soni, Chakkrapong Taewichit

Publikováno v: Meteorological Applications. 20:20-31

Stochastic Multi-states First-order Markov Chain (SMFOMC) models have been used to describe occurrence of daily rainfall. This paper describes optimization of SMFOMC parameters through the generation of synthetic daily rainfall sequences. Three SMFOM

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69634abeada4c94a831ad4cb4a98e986
https://doi.org/10.1002/met.292

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HYDROLOGIC TIME SERIES DATA MODELING USING MULTIPLICATIVE ARIMA

Autor: Suwatana Chittaladakorn, Chakkrapong Taewichit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84e42e3c31f305b42a82a33e4196bff7
https://doi.org/10.1142/9789812836144_0008

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