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 t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Borgelt, Christian (Editor ), Gil, María Ángeles (Editor ), Sousa, João M.C (Editor ), Verleysen, Michel (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Studies in Fuzziness and Soft Computing, 285
Temas:
Computational intelligence.
Computer science-Mathematics.
Mathematical statistics.
Data mining.
Computer simulation.
Computational Intelligence.
Probability and Statistics in Computer Science.
Data Mining and Knowledge Discovery.
Computer Modelling.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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