文章基本信息

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作者：Yonghua Zhu ; Hongtao Lu ; Zilin Zhu 等
期刊名称：American Journal of Computational Mathematics
印刷版ISSN：2161-1203
电子版ISSN：2161-1211
出版年度：2013
卷号：3
期号：3B
页码：1-6
DOI：10.4236/ajcm.2013.33B001
出版社：Scientific Research Publishing
摘要：According to the hierarchical characteristics of monthly rainfall in different regions, the paper takes the geographical factors and seasonal factors into the hierarchical linear model as the level effect. Through clustering methods we select two more representative regional meteorological data. We establish three-layer model by transforming the interactive structure date into nested structure data. According the model theory we perform the corresponding model calculations, optimization and analysis, accordingly to interpret the level effects, and residual test. The results show that most of the difference in Monthly Rainfall was respectively explained by Variables (Meteorological factors, seasonal effects, geographic effects) in different levels.
关键词：Monthly Rainfall; Hierarchical Linear Model; Regional Effects; Interaction Effect Component