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政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 > Item 140.119/76759

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76759

Title:	Aspects of statistical inference
Authors:	Nguyen, H.T.;Wu, Berlin 吳柏林
Contributors:	應數系
Date:	2006
Issue Date:	2015-07-21 15:29:26 (UTC+8)
Abstract:	With the background in previous chapters, problems of statistical inference with fuzzy data should be somewhat straightforward in principle! By that we mean replacing random vectors by random fuzzy sets in all aspects of statistical inference. Of course, as in any generalization problem, this is just a guideline. Due to the nature of fuzzy data, as observations from random fuzzy sets, technical difficulties are expected in developing the theory. In fact, actual research is aiming at investigating, say, limit theorems for random fuzzy sets in order to provide rationale for large sample samples statistics with fuzzy data. © Springer-Verlag Berlin Heidelberg 2006.
Relation:	Studies in Fuzziness and Soft Computing, 198, 45-70
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1007/11353492_5
DOI:	10.1007/11353492_5
Appears in Collections:	[應用數學系] 期刊論文

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