Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to...

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Autor principal: Borgelt, Christian, 19..-
Altres autors: Gil, María Ángeles (Editor), Sousa, Joao M. C. (Editor), Verleysen, Michel, 19..- (Editor)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edició:1st ed. 2013.
Col·lecció:Studies in Fuzziness and Soft Computing 285
Accés en línia:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Towards Advanced Data Analysis by Combining Soft Computing and Statistics, Texte imprimé, 9783642302770
Taula de continguts:
  • From the Contents: Arithmetic and Distance-Based Approach to the Statistical Analysis of Imprecisely Valued Data Linear Regression Analysis for Interval-valued Data Based on Set Arithmetic: A Bootstrap Confidence Intervals for the Parameters of a Linear Regression Model with Fuzzy Random Variables On the Estimation of the Regression Model M for Interval Data Hybrid Least-Squares Regression Modelling Using Confidence Testing the Variability of Interval Data: An Application to Tidal Fluctuation.-Comparing the Medians of a Random Interval Defined by Means of Two Different L1 Metrics.-Comparing the Representativeness of the 1-norm Median for Likert and Free-response Fuzzy Scales.-Fuzzy Probability Distributions in Reliability Analysis, Fuzzy HPD-regions, and Fuzzy Predictive Distributions