Combining Soft Computing and Statistical Methods in Data Analysis

Table of Contents

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   Book Overview
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   Chapter 1 Prior Knowledge in the Classification of Biomedical Data
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   Chapter 2 Estimation of a Simple Genetic Algorithm Applied to a Laboratory Experiment
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   Chapter 3 A Comparison of Robust Methods for Pareto Tail Modeling in the Case of Laeken Indicators
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   Chapter 4 R Code for Hausdorff and Simplex Dispersion Orderings in the 2D Case
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   Chapter 5 On Some Confidence Regions to Estimate a Linear Regression Model for Interval Data
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   Chapter 6 Possibilistic Coding: Error Detection vs. Error Correction
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   Chapter 7 Coherent Correction for Conditional Probability Assessments with R
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   Chapter 8 Inferential Rules for Weak Graphoid
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    Chapter 9 Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning
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    Chapter 10 Option Pricing in Incomplete Markets Based on Partial Information
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    Chapter 11 Lorenz Curves of extrema
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    Chapter 12 Likelihood in a Possibilistic and Probabilistic Context: A Comparison
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    Chapter 13 Nonparametric Predictive Inference for Order Statistics of Future Observations
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    Chapter 14 Expected Pair-Wise Comparison of the Outcomes of a Fuzzy Random Variable
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    Chapter 15 The Behavioral Meaning of the Median
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    Chapter 16 Functional Classification and the Random Tukey Depth. Practical Issues
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    Chapter 17 On Concordance Measures and Copulas with Fractal Support
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    Chapter 18 Factorisation Properties of the Strong Product
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    Chapter 19 Hadamard Majorants for the Convex Order and Applications
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    Chapter 20 How to Avoid LEM Cycles in Mutual Rank Probability Relations
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    Chapter 21 Functional Inequalities Characterizing the Frank Family of Copulas
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    Chapter 22 Recent Developments in Censored, Non-Markov Multi-State Models
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    Chapter 23 Maximum Likelihood from Evidential Data: An Extension of the EM Algorithm
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    Chapter 24 A Decision Rule for Imprecise Probabilities Based on Pair-Wise Comparison of Expectation Bounds
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    Chapter 25 Handling Bipolar Knowledge with Credal Sets
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    Chapter 26 Coherent Upper Conditional Previsions and Their Integral Representation with Respect to Hausdorff Outer Measures
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    Chapter 27 Statistical Inference with Belief Functions and Possibility Measures: A Discussion of Basic Assumptions
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    Chapter 28 Representation of Exchangeable Sequences by Means of Copulas
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    Chapter 29 Area-Level Time Models for Small Area Estimation of Poverty Indicators
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    Chapter 30 Flood Analysis: On the Automation of the Geomorphological-Historical Method
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    Chapter 31 Geometric Sampling: An Approach to Uncertainty in High Dimensional Spaces
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    Chapter 32 Inverse Problems and Model Reduction Techniques
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    Chapter 33 A Linearity Test for a Simple Regression Model with LR Fuzzy Response
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    Chapter 34 Soft Methods in Robust Statistics
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    Chapter 35 S -Statistics and Their Basic Properties
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    Chapter 36 Particle Swarm Optimization and Inverse Problems
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    Chapter 37 Linear Approximations to the Power Function of Robust Tests
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    Chapter 38 Decision Support for Evolving Clustering
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    Chapter 39 On Jaffray’s Decision Model for Belief Functions
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    Chapter 40 Quasi Conjunction and p-Entailment in Nonmonotonic Reasoning
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    Chapter 41 Elements of Robust Regression for Data with Absolute and Relative Information
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    Chapter 42 On Testing Fuzzy Independence Application in Quality Control
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    Chapter 43 The Fisher’s Linear Discriminant
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    Chapter 44 Testing Archimedeanity
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    Chapter 45 An Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence
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    Chapter 46 Comparison of Time Series via Classic and Temporal Protoforms of Linguistic Summaries: An Application to Mutual Funds and Their Benchmarks
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    Chapter 47 Mining Gradual Dependencies Based on Fuzzy Rank Correlation
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    Chapter 48 From Probabilities to Belief Functions on MV-Algebras
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    Chapter 49 Soft Methods in Trend Detection
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    Chapter 50 Linguistic Decision Trees for Fusing Tidal Surge Forecasting Models
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    Chapter 51 Set-Valued Square Integrable Martingales and Stochastic Integral
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    Chapter 52 Smooth Transition from Mixed Models to Fixed Models
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    Chapter 53 Mixture Models with a Black-Hole Component
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    Chapter 54 On the Preservations of Contractions: An Application to Stochastic Orders
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    Chapter 55 A New Multivariate Stochastic Order, Main Properties
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    Chapter 56 ANOVA for Fuzzy Random Variables Using the R-package SAFD
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    Chapter 57 Probability Tree Factorisation with Median Free Term
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    Chapter 58 Comparison of Random Variables Coupled by Archimedean Copulas
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    Chapter 59 Two-Way Analysis of Variance for Interval-Valued Data
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    Chapter 60 Estimating the Variance of a Kernel Density Estimation
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    Chapter 61 Uncertainty Invariance Transformation in Continuous Case
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    Chapter 62 Detection of Outliers Using Robust Principal Component Analysis: A Simulation Study
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    Chapter 63 Exploiting Sparse Dependence Structure in Model Based Classification
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    Chapter 64 Independence Tests for Uncertain Data with a Frequentist Method
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    Chapter 65 Why Imprecise Regression: A Discussion
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    Chapter 66 Power Analysis of the Homoscedasticity Test for Random Fuzzy Sets
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    Chapter 67 Periodic Generalized-Differentiable Solutions to Fuzzy Differential Equations
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    Chapter 68 The Selection of the Shrinkage Region in Small Area Estimation
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    Chapter 69 Set-Valued Stochastic Processes and Sets of Probability Measures Induced by Stochastic Differential Equations with Random Set Parameters
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    Chapter 70 Coupled Brownian Motion
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    Chapter 71 The Median of a Random Interval
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    Chapter 72 The Use of Sets of Stochastic Operators to Constructing Imprecise Probabilities
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    Chapter 73 Prediction of Future Order Statistics from the Uniform Distribution
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    Chapter 74 Balance Sheet Approach to Agent-Based Computational Economics: The EURACE Project
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    Chapter 75 Connections between Statistical Depth Functions and Fuzzy Sets
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    Chapter 76 An Alternative Approach to Evidential Network Construction
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    Chapter 77 Large Deviations of Random Sets and Random Upper Semicontinuous Functions
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    Chapter 78 A Note of Proposed Privacy Measures in Randomized Response Models