Hierarchical Linear Model of Monthly Rainfall with Regional and Seasonal Interaction Effects

DOI: 10.4236/ajcm.2013.33B001   PDF   HTML     4,357 Downloads   5,839 Views  

Abstract

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.

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Y. Zhu, H. Lu and Z. Zhu, "Hierarchical Linear Model of Monthly Rainfall with Regional and Seasonal Interaction Effects," American Journal of Computational Mathematics, Vol. 3 No. 3B, 2013, pp. 1-6. doi: 10.4236/ajcm.2013.33B001.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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[5] X. Zhang and J. Y. Wang, “The Study for the Sample Size Problem about Hierarchical Linear Models,” Statistics and Decision, Vol. 15, 2010, pp. 4-8.

  
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