Combining Soft Computing and Statistical Methods in Data Analysis

Combining Soft Computing and Statistical Methods in Data Analysis edited by Christian Borgelt, Gil González Rodríguez, Wolfgang Trutschnig, María Asunción Lubiano, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz.

Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of random...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Borgelt, Christian (Editor), Rodríguez, Gil González (Editor), Trutschnig, Wolfgang (Editor), Lubiano, María Asunción (Editor), Angeles Gil, María (Editor), Grzegorzewski, Przemyslaw (Editor), Hryniewicz, Olgierd (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Advances in Intelligent and Soft Computing, 77
Springer eBook Collection.
Subjects:
Computational intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Prior Knowledge in the Classification of Biomedical Data.-Estimation of a Simple Genetic Algorithm Applied to a Laboratory Experiment
  • A Comparison of Robust Methods for Pareto Tail Modeling in the Case of Laeken Indicators
  • R Code for Hausdorff and Simplex Dispersion Orderings in the 2D Case On Some Confidence Regions to Estimate a Linear Regression
  • Model for Interval Data Possibilistic Coding: Error Detection vs. Error Correction . Coherent Correction for Conditional Probability Assessments
  • with RInferential Rules for Weak Graphoid.-Fast Factorization of Probability Trees and its Application to Recursive Trees Learning
  • Option Pricing in Incomplete Markets Based on Partial Information
  • Lorenz Curves of extrema
  • Likelihood in a Possibilistic and Probabilistic Context: A Comparison
  • Nonparametric Predictive Inference for Order Statistics of Future Observations
  • Expected Pair-Wise Comparison of the Outcomes of a Fuzzy Random Variable
  • The Behavioral Meaning of the Median Functional Classification and the Random Tukey Depth. Practical Issues
  • . On Concordance Measures and Copulas with Fractal Support
  • Factorisation Properties of the Strong Product etc. ...

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