Theory and Applications of Recent Robust Methods

Table of Contents

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   Book Overview
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   Chapter 1 Bias Behavior of the Minimum Volume Ellipsoid Estimate
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   Chapter 2 A Study of Belgian Inflation, Relative Prices and Nominal Rigidities using New Robust Measures of Skewness and Tail Weight
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   Chapter 3 Robust Strategies for Quantitative Investment Management
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   Chapter 4 An Adaptive Algorithm for Quantile Regression
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   Chapter 5 On Properties of Support Vector Machines for Pattern Recognition in Finite Samples
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   Chapter 6 Smoothed Local L-Estimation With an Application
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   Chapter 7 Fast Algorithms for Computing High Breakdown Covariance Matrices with Missing Data
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   Chapter 8 Generalized d -fullness Technique for Breakdown Point Study of the Trimmed Likelihood Estimator with Application
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    Chapter 9 On Robustness to Outliers of Parametric L 2 Estimate Criterion in the Case of Bivariate Normal Mixtures: a Simulation Study
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    Chapter 10 Robust PCR and Robust PLSR: a Comparative Study
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    Chapter 11 Analytic Estimator Densities for Common Parameters under Misspecified Models
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    Chapter 12 Empirical Comparison of the Classification Performance of Robust Linear and Quadratic Discriminant Analysis
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    Chapter 13 Estimates of the Tail Index Based on Nonparametric Tests
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    Chapter 14 On Mardia’s Tests of Multinormality
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    Chapter 15 Robustness in Sequential Discrimination of Markov Chains under “Contamination”
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    Chapter 16 Robust Box-Cox Transformations for Simple Regression
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    Chapter 17 Consistency of the Least Weighted Squares Regression Estimator
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    Chapter 18 Algorithms for Robust Model Selection in Linear Regression
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    Chapter 19 Analyzing the Number of Samples Required for an Approximate Monte-Carlo LMS Line Estimator
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    Chapter 20 Visualizing 1D Regression
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    Chapter 21 Robust Redundancy Analysis by Alternating Regression
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    Chapter 22 Robust ML-estimation of the Transmitter Location
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    Chapter 23 A Family of Scale Estimators by Means of Trimming
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    Chapter 24 Robust Efficient Method of Moments Estimation
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    Chapter 25 Computational Geometry and Statistical Depth Measures
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    Chapter 26 Partial Mixture Estimation and Outlier Detection in Data and Regression
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    Chapter 27 Robust Fitting Using Mean Shift: Applications in Computer Vision
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    Chapter 28 Testing the Equality of Location Parameters for Skewed Distributions Using S 1 with High Breakdown Robust Scale Estimators
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    Chapter 29 Rank Scores Tests of Multivariate Independence
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    Chapter 30 The Influence of a Stochastic Interest Rate on the n-fold Compound Option
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    Chapter 31 Robust Estimations for Multivariate Sinh -1 -Normal Distribution
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    Chapter 32 A Robust Estimator of the Tail Index Based on an Exponential Regression Model
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    Chapter 33 Robust Processing of Mechanical Vibration Measurements
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    Chapter 34 Quadratic Mixed Integer Programming Models in Minimax Robust Regression Estimators