Fuzzy Statistics:
This monograph introduces elementary fuzzy statistics based on crisp (non-fuzzy) data. In the introductory chapters the book presents a very readable survey of fuzzy sets including fuzzy arithmetic and fuzzy functions. The book develops fuzzy estimation and demonstrates the construction of fuzzy est...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
149 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-3-540-39919-3 https://doi.org/10.1007/978-3-540-39919-3 https://doi.org/10.1007/978-3-540-39919-3 |
| Zusammenfassung: | This monograph introduces elementary fuzzy statistics based on crisp (non-fuzzy) data. In the introductory chapters the book presents a very readable survey of fuzzy sets including fuzzy arithmetic and fuzzy functions. The book develops fuzzy estimation and demonstrates the construction of fuzzy estimators for various important and special cases of variance, mean and distribution functions. It is shown how to use fuzzy estimators in hypothesis testing and regression, which leads to a comprehensive presentation of fuzzy hypothesis testing and fuzzy regression as well as fuzzy prediction |
| Umfang: | 1 Online-Ressource (XI, 168 p) |
| ISBN: | 9783540399193 |
| DOI: | 10.1007/978-3-540-39919-3 |
Internformat
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| 520 | |a This monograph introduces elementary fuzzy statistics based on crisp (non-fuzzy) data. In the introductory chapters the book presents a very readable survey of fuzzy sets including fuzzy arithmetic and fuzzy functions. The book develops fuzzy estimation and demonstrates the construction of fuzzy estimators for various important and special cases of variance, mean and distribution functions. It is shown how to use fuzzy estimators in hypothesis testing and regression, which leads to a comprehensive presentation of fuzzy hypothesis testing and fuzzy regression as well as fuzzy prediction | ||
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Datensatz im Suchindex
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| doi_str_mv | 10.1007/978-3-540-39919-3 |
| format | Electronic eBook |
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| id | DE-604.BV045149166 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:19:20Z |
| institution | BVB |
| isbn | 9783540399193 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538865 |
| oclc_num | 1050936842 |
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| physical | 1 Online-Ressource (XI, 168 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
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| publisher | Springer Berlin Heidelberg |
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| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Buckley, James J. Verfasser aut Fuzzy Statistics by James J. Buckley Berlin, Heidelberg Springer Berlin Heidelberg 2004 1 Online-Ressource (XI, 168 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 149 This monograph introduces elementary fuzzy statistics based on crisp (non-fuzzy) data. In the introductory chapters the book presents a very readable survey of fuzzy sets including fuzzy arithmetic and fuzzy functions. The book develops fuzzy estimation and demonstrates the construction of fuzzy estimators for various important and special cases of variance, mean and distribution functions. It is shown how to use fuzzy estimators in hypothesis testing and regression, which leads to a comprehensive presentation of fuzzy hypothesis testing and fuzzy regression as well as fuzzy prediction Engineering Engineering, general Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Statistics, general Complexity Artificial intelligence Probabilities Statistics Applied mathematics Engineering mathematics Complexity, Computational Fuzzy-Statistik (DE-588)4779113-5 gnd rswk-swf Fuzzy-Wahrscheinlichkeit (DE-588)4728168-6 gnd rswk-swf Fuzzy-Wahrscheinlichkeit (DE-588)4728168-6 s 1\p DE-604 Fuzzy-Statistik (DE-588)4779113-5 s 2\p DE-604 Erscheint auch als Druck-Ausgabe 9783642059247 https://doi.org/10.1007/978-3-540-39919-3 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Buckley, James J. Fuzzy Statistics Engineering Engineering, general Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Statistics, general Complexity Artificial intelligence Probabilities Statistics Applied mathematics Engineering mathematics Complexity, Computational Fuzzy-Statistik (DE-588)4779113-5 gnd Fuzzy-Wahrscheinlichkeit (DE-588)4728168-6 gnd |
| subject_GND | (DE-588)4779113-5 (DE-588)4728168-6 |
| title | Fuzzy Statistics |
| title_auth | Fuzzy Statistics |
| title_exact_search | Fuzzy Statistics |
| title_full | Fuzzy Statistics by James J. Buckley |
| title_fullStr | Fuzzy Statistics by James J. Buckley |
| title_full_unstemmed | Fuzzy Statistics by James J. Buckley |
| title_short | Fuzzy Statistics |
| title_sort | fuzzy statistics |
| topic | Engineering Engineering, general Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Statistics, general Complexity Artificial intelligence Probabilities Statistics Applied mathematics Engineering mathematics Complexity, Computational Fuzzy-Statistik (DE-588)4779113-5 gnd Fuzzy-Wahrscheinlichkeit (DE-588)4728168-6 gnd |
| topic_facet | Engineering Engineering, general Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Statistics, general Complexity Artificial intelligence Probabilities Statistics Applied mathematics Engineering mathematics Complexity, Computational Fuzzy-Statistik Fuzzy-Wahrscheinlichkeit |
| url | https://doi.org/10.1007/978-3-540-39919-3 |
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