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    المؤلفون: 周鴻文, Chou, Hung-Wen

    المساهمون: 淡江大學數學學系碩士班, 吳漢銘, Wu, Han-Ming

    وصف الملف: 144 bytes; text/html

    العلاقة: Billard, L. and Diday, E. (2006). Symbolic data analysis: conceptual statistics and data mining. WILEY SERIES IN COMPUTATIONAL STATISTICS. Billard, L. and Le-Rademacher, J. (2012). Symbolic covariance principal component analysis and visualization for interval-valued data. Journal of Computational and Graphical Statis- tics, 413-432. Cazes, P., Douzal-Chouakria, A., Diday, E. and Schecktman, Y. (1997). Extension de l’analyse en Composantes Principales des donnes de Type Intervalle. Revue Statistique Applique, 45, 5-24. Chen, Y. S. and Wu, H. M. (2013). The application of sliced inverse regression for dimension reduction of the interval-valued symbolic data. Journal of the Chinese Statistical Associa- tion, 51(3), 327-351. Douzal-Chouakria, A., Billard, L. and Diday, E. (2011). Principal components for interval-valued observations. Statistical Analysis and Data Mining, 4(2), 229 - 246. Douzal-Chouakria, A., Diday, E. and Cazes, P. (1998). An improved factorial representation of symbolic objects. Advances in Data Science and Classification, 397-402. Giordani, P. and Kiers, H. A. L. (2006). A comparison of three methods for principal compo- nent analysis of fuzzy interval data. Computational Statistics and Data Analysis, 51(1), 379-397. Gioia, F. and Lauro, C. N. (2006). Principal component analysis on interval data. Computa- tional Statistics, 21, 343-363. Lauro N. C. and Palumbo F. (2000). Principal Component Analysis with interval data: a symbolic data analysis approach. Computational Statistics, 15(1), 73-87. Palumbo, F. and Lauro, N. C. (2003). A PCA for interval valued data based on midpoints and 26 radii. New developments in Psychometrics, 641-648. Tipping, M. E. and Bishop, C. M. (1997). Probabilistic principal component analysis. Journal of the Royal Statistical Society, Series B, 61, 611-622. Wang, H., Guan, R. and Wu, J. (2012). CIPCA: complete-information-based principal compo- nent analysis for interval-valued data. Neurocomputing, 86, 158-169. Zuccolotto, P. (2011). Principal component analysis with interval imputed missing values. AStA Advances in Statistical Analysis, 96(1), 1-23.; U0002-2308201522045700; http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105300Test; http://tkuir.lib.tku.edu.tw:8080/dspace/bitstream/987654321/105300/1/index.htmlTest

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