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학술저널

시계열 자료의 이상값 검출과 평활 방법

Identification of outliers and adjustment in time series data

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It is well known fact that outliers should be identified and we adjust the effects of outliers for time series data to be analyzed properly. In this paper, a simple effective method to detect and adjust outliers is developed by using the distance measure between two data points. Moreover we develope a computer program of the proposed method developed by S-plus. And some ways of application for the suggested method are also discussed by analyzing a real empirical time series data.

Ⅰ. 서론

Ⅱ. 이상값 발생 여부에 대한 판단방법

Ⅲ. 이상값 발생시점의 식별과 평활방법

Ⅳ. 사례분석 및 프로그램 사용법

Ⅴ. 결론

참고문헌

Abstract

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