Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/76759
題名: Aspects of statistical inference
作者: Nguyen, H.T.;Wu, Berlin
吳柏林
貢獻者: 應數系
日期: 2006
上傳時間: 21-Jul-2015
摘要: 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.
關聯: Studies in Fuzziness and Soft Computing, 198, 45-70
資料類型: article
DOI: http://dx.doi.org/10.1007/11353492_5
Appears in Collections:期刊論文

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