Computing Statistics under Interval and Fuzzy Uncertainty : Applications to Computer Science and Engineering
In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area. Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Ausgabe: | 1st ed. 2012. |
| Schriftenreihe: | Studies in Computational Intelligence
393 |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computing Statistics under Interval and Fuzzy Uncertainty, Texte imprimé, 9783642249044 • Computing Statistics under Interval and Fuzzy Uncertainty, Texte imprimé, 9783642445705 • Computing Statistics under Interval and Fuzzy Uncertainty, Texte imprimé, 9783642249044 • Computing Statistics under Interval and Fuzzy Uncertainty, Texte imprimé, 9783642249068 |
Inhaltsangabe:
- Part I Computing Statistics under Interval and Fuzzy Uncertainty: Formulation of the Problem and an Overview of General Techniques Which Can Be Used for Solving this Problem Part II Algorithms for Computing Statistics Under Interval and Fuzzy Uncertainty Part III Towards Computing Statistics under Interval and Fuzzy Uncertainty: Gauging the Quality of the Input Data Part IV Applications Part V Beyond Interval and Fuzzy Uncertainty