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, an...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Nguyen, Hung T. (Auteur), Kreinovich, Vladik (Auteur), Wu, Berlin (Auteur), Xiang, Gang (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Édition:1st ed. 2012.
Collection:Studies in Computational Intelligence, 393
Sujets:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Statistics .
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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