Combining soft computing and statistical methods in data analysis

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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Xehetasun bibliografikoak
Egile nagusia: Borgelt, Christian, 19..-
Beste egile batzuk: González-Rodríguez, Gil, 19..- (Argitalpenaren zuzendaria, Argitaratzailea), Trutschnig, Wolfgang, 19..- (Argitalpenaren zuzendaria, Argitaratzailea), Lubiano, María Asunción, 19..- (Argitalpenaren zuzendaria, Argitaratzailea), Gil, María Ángeles (Argitalpenaren zuzendaria, Argitaratzailea), Grzegorzewski, Przemysław (Argitalpenaren zuzendaria, Argitaratzailea), Hryniewicz, Olgierd (Argitalpenaren zuzendaria, Argitaratzailea)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizioa:1st ed. 2010.
Saila:Advances in Intelligent and Soft Computing 77
Sarrera elektronikoa:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Oharra: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147456
• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147456
• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147470
• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147456
• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147470
Aurkibidea:
  • 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 ...