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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Nguyen, Hung T. (Author), Kreinovich, Vladik (Author), Wu, Berlin (Author), Xiang, Gang (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Studies in Computational Intelligence, 393
Subjects:
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.
Online Access:Texto Completo
Table of Contents:
  • 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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