Towards Advanced Data Analysis by Combining Soft Computing and Statistics /

Towards Advanced Data Analysis by Combining Soft Computing and Statistics /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Borgelt, Christian. (Editor), Gil, María Ángeles. (Editor), Sousa, João M.C. (Editor), Verleysen, Michel. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Studies in Fuzziness and Soft Computing, 285
Subjects:
Computational intelligence.
Mathematical statistics.
Data mining.
Computer simulation.
Computational Intelligence.
Probability and Statistics in Computer Science.
Data Mining and Knowledge Discovery.
Simulation and Modeling.
Table of Contents:
  • 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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