| dc.contributor | 應數系 | |
| dc.creator (作者) | Nguyen, H.T.;Wu, Berlin | |
| dc.creator (作者) | 吳柏林 | zh_TW |
| dc.date (日期) | 2006 | |
| dc.date.accessioned | 21-Jul-2015 15:29:26 (UTC+8) | - |
| dc.date.available | 21-Jul-2015 15:29:26 (UTC+8) | - |
| dc.date.issued (上傳時間) | 21-Jul-2015 15:29:26 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/76759 | - |
| dc.description.abstract (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. | |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Studies in Fuzziness and Soft Computing, 198, 45-70 | |
| dc.title (題名) | Aspects of statistical inference | |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1007/11353492_5 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/11353492_5 | |
