Combining Soft Computing and Statistical Methods in Data Analysis /

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
Subjects:
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. ...