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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제18권 제6호
- 발행연도
- 2016.12
- 수록면
- 2,871 - 2,878 (8page)
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Symbolic data appear from various field of applications, such as social sciences, medical, industry and government experiment etc.. Symbolic data analysis treats new concepts that are underlying on the given raw data. It is important of the complex nature of big data. It can be multi-valued data, interval-valued data, histogram-valued data. Classical variables can be transformed into symbolic variables. So, we can reduce the size of the data. In this study, we consider statistical tests of two sample symbolic data, especially on interval-valued variables. It can be easily extended to other symbolic data such as histogram- valued variables. We are interested in two sample statistical tests for interval-valued variables. The first approach could be Kolmogorov-Smirnov (K-S) test for intervals. To construct K-S tests, we define empirical distributions of intervals and then compare proposed tests to classical ones. The p-value of the tests is calculated using permutation techniques with R. Blood pressure data is used as an applications to investigate their properties. We can find that the proposed method is competitive.
목차
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참고문헌 (12)
참고문헌 신청
Ahn, J. / 2012 / A resampling approach for interval-valued data regression / Statistical Analysis and Data Mining 5:336~348
Billard, L. / 2003 / From the statistics of data to the statistics of knowledge : Symbolic data analysis / Journal of the American Statistical Association 98:470~487
Billard, L. / 2007 / Symbolic Data Analysis: Conceptual Statistics and Data Mining / John Wiley & Sons
Bock, H. / 2000 / Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data / Springer-Verlag
Diday, E. / 1987 / The symbolic approach in clustering and related methods of data analysis / Proceedings of IFCS :673~684
Billard, L. / 2003 / From the statistics of data to the statistics of knowledge : Symbolic data analysis / Journal of the American Statistical Association 98:470~487
Billard, L. / 2007 / Symbolic Data Analysis: Conceptual Statistics and Data Mining / John Wiley & Sons
Bock, H. / 2000 / Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data / Springer-Verlag
Diday, E. / 1987 / The symbolic approach in clustering and related methods of data analysis / Proceedings of IFCS :673~684
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