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pro vyhledávání: '"Ming-De Chuang"'
Autor:
Ming-De Chuang, 莊明德
87
Most of tradition methods for generating and forecasting non-Gaussian hydrological time series is established by raw data directly. So, the process of data transformation or building models are always affected by the variation of sample datum
Most of tradition methods for generating and forecasting non-Gaussian hydrological time series is established by raw data directly. So, the process of data transformation or building models are always affected by the variation of sample datum
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/59335651086867398604
Autor:
Ming-De Chuang, G. H. Yu
Publikováno v:
Journal of Forecasting. 26:239-250
A new forecasting non-Gaussian time series method based on order series transformation properties has been proposed. The proposed method improves Yu's method without using Hermite polynomial expansion to process nonlinear instantaneous transformation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b30100c4f65dc4195ae4c1fc7e43ad83
https://doi.org/10.1002/for.1024
https://doi.org/10.1002/for.1024
Autor:
Ming-De Chuang, Wen-Chieh Chou
Publikováno v:
Environmental monitoring and assessment. 172(1-4)
In recent years, the Taiwanese government has strongly promoted the concept of ecological engineering in the hope that doing so will encourage the maintenance of the ecosystem and its integrity. As a result, the riprap spur dike is one of the most co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d982db156f59abf0a732bfec657c7bad
https://pubmed.ncbi.nlm.nih.gov/20376557
https://pubmed.ncbi.nlm.nih.gov/20376557
Autor:
Wen-Chieh Chou1 wcchou@chu.edu.tw, Ming-De Chuang2 ardada@tesri.gov.tw
Publikováno v:
Environmental Monitoring & Assessment. Jan2011, Vol. 172 Issue 1-4, p689-704. 16p.