Towards Advanced Data Analysis by Combining Soft Computing and Statistics /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Borgelt, Christian. (Editor ), Gil, María Ángeles. (Editor ), Sousa, João M.C. (Editor ), Verleysen, Michel. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:	1st ed. 2013.
Colección:	Studies in Fuzziness and Soft Computing, 285
Materias:	Computational intelligence. Mathematical statistics. Data mining. Computer simulation. Computational Intelligence. Probability and Statistics in Computer Science. Data Mining and Knowledge Discovery. Simulation and Modeling.

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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