Soft Methods in Probability, Statistics and Data Analysis:

Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere beteiligte Personen: Grzegorzewski, Przemysław (HerausgeberIn), Hryniewicz, Olgierd (HerausgeberIn), Gil, María Ángeles (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Heidelberg Physica-Verlag HD 2002
Schriftenreihe:Advances in Intelligent and Soft Computing 16
Schlagwörter:
Links:https://doi.org/10.1007/978-3-7908-1773-7
https://doi.org/10.1007/978-3-7908-1773-7
https://doi.org/10.1007/978-3-7908-1773-7
Zusammenfassung:Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories such as fuzzy sets theory, rough sets, possibility theory, theory of belief functions and imprecise probabilities, etc. Since interesting mathematical models and methods have been proposed in the frameworks of various theories, this text brings together experts representing different approaches used in soft probability, statistics and data analysis
Umfang:1 Online-Ressource (X, 372 p. 26 illus)
ISBN:9783790817737
DOI:10.1007/978-3-7908-1773-7