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Theory and Applications of Recent Robust Methods: Statistics for Industry and Technology

Editat de Mia Hubert, Greet Pison, Anja Struyf, Stefan Van Aelst
en Limba Engleză Paperback – 5 noi 2012

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Specificații

ISBN-13: 9783034896368
ISBN-10: 3034896360
Pagini: 416
Ilustrații: XI, 400 p.
Dimensiuni: 178 x 254 x 22 mm
Greutate: 0.72 kg
Ediția:Softcover reprint of the original 1st ed. 2004
Editura: Birkhäuser Basel
Colecția Birkhäuser
Seria Statistics for Industry and Technology

Locul publicării:Basel, Switzerland

Public țintă

Research

Cuprins

Bias Behavior of the Minimum Volume Ellipsoid Estimate.- A Study of Belgian Inflation, Relative Prices and Nominal Rigidities using New Robust Measures of Skewness and Tail Weight.- Robust Strategies for Quantitative Investment Management.- An Adaptive Algorithm for Quantile Regression.- On Properties of Support Vector Machines for Pattern Recognition in Finite Samples.- Smoothed Local L-Estimation With an Application.- Fast Algorithms for Computing High Breakdown Covariance Matrices with Missing Data.- Generalized d-fullness Technique for Breakdown Point Study of the Trimmed Likelihood Estimator with Application.- On Robustness to Outliers of Parametric L2 Estimate Criterion in the Case of Bivariate Normal Mixtures: a Simulation Study.- Robust PCR and Robust PLSR: a Comparative Study.- Analytic Estimator Densities for Common Parameters under Misspecified Models.- Empirical Comparison of the Classification Performance of Robust Linear and Quadratic Discriminant Analysis.- Estimates of the Tail Index Based on Nonparametric Tests.- On Mardia’s Tests of Multinormality.- Robustness in Sequential Discrimination of Markov Chains under “Contamination”.- Robust Box-Cox Transformations for Simple Regression.- Consistency of the Least Weighted Squares Regression Estimator.- Algorithms for Robust Model Selection in Linear Regression.- Analyzing the Number of Samples Required for an Approximate Monte-Carlo LMS Line Estimator.- Visualizing 1D Regression.- Robust Redundancy Analysis by Alternating Regression.- Robust ML-estimation of the Transmitter Location.- A Family of Scale Estimators by Means of Trimming.- Robust Efficient Method of Moments Estimation.- Computational Geometry and Statistical Depth Measures.- Partial Mixture Estimation and Outlier Detection in Data andRegression.- Robust Fitting Using Mean Shift: Applications in Computer Vision.- Testing the Equality of Location Parameters for Skewed Distributions Using S1 with High Breakdown Robust Scale Estimators.- Rank Scores Tests of Multivariate Independence.- The Influence of a Stochastic Interest Rate on the n-fold Compound Option.- Robust Estimations for Multivariate Sinh-1-Normal Distribution.- A Robust Estimator of the Tail Index Based on an Exponential Regression Model.- Robust Processing of Mechanical Vibration Measurements.- Quadratic Mixed Integer Programming Models in Minimax Robust Regression Estimators.

Caracteristici

Contains up-to-date research results in the theory of robust statistics Treats computational aspects and algorithms Shows interesting and new applications