기온 강수량 자료의 함수적 데이터 분석 = Functional Data Analysis of Temperature and Precipitation Data

다국어 초록 (Multilingual Abstract)

In this paper we review some methods for analyzing functional data and illustrate real application of functional data analysis. Representing methods for functional data by using basis function, analyzing functional variation by functional principal component analysis and functional linear models are reviewed. For a real application, we use temperature and precipitation data measured in Korea from the January of 1970 to the May of 2004. We apply functional principal component analysis for each data and test the significance of regional division done by using shining hours. We also estimate functional regression model for temperature and precipitation.

참고문헌 (Reference)

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