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" 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.

List of contents

Part I: Introductory Papers.- Part II: Soft Methods in Probability - Fundamentals.- Part III: Soft Methods in Statistics - Fuzzy Stochastic Models.- Part IV: Soft Methods in Data Analysis - Fuzzy, Rough and Other Approaches.

Product details

• Assisted by: Maria A. Gil (Editor), Przemyslaw Grzegorzewski (Editor), Olgierd Hryniewicz (Editor)
• Publisher: Springer EN
• Languages: English
• Product format: Paperback / Softback
• Released: 04.09.2002
• EAN: 9783790815269
• ISBN: 978-3-7908-1526-9
• No. of pages: 372
• Weight: 587 g
• Illustrations: X, 372 p. 26 illus., schwarz-weiss Illustrationen
• Series: Advances in Intelligent and Soft Computing
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; C, Economics, finance, business & management, Artificial Intelligence, Statistics, engineering, Probability Theory and Stochastic Processes, Probability & statistics, Mathematical & statistical software, Probabilities, Stochastics, Probability Theory, Maths for computer scientists, Mathematical statistics, Probability and Statistics in Computer Science