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Robust Statistics, Data Analysis, and Computer Intensive Methods

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Cover of 'Robust Statistics, Data Analysis, and Computer Intensive Methods'

Table of Contents

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    Book Overview
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    Chapter 1 Bootstrap Variable—Selection and Confidence Sets
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    Chapter 2 Robust Estimation in the Logistic Regression Model
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    Chapter 3 The m out of n Bootstrap and Goodness of Fit Tests with Double Censored Data
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    Chapter 4 What Criterion for a Power Algorithm?
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    Chapter 5 Nonparametric Estimation of Global Functionals of Conditional Quantiles
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    Chapter 6 High Breakdown Point Estimators in Logistic Regression
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    Chapter 7 The Guinea Pig of Multiple Regression
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    Chapter 8 When is a p-Value a Good Measure of Evidence?
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    Chapter 9 Geometric Properties of Principal Curves in the Plane
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    Chapter 10 On Robust Estimation of Variograms in Geostatistics
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    Chapter 11 Advances in Nonparametric Function Estimation
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    Chapter 12 On the Philosophical Foundations of Statistics: Bridges to Huber’s work, and recent results
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    Chapter 13 Data Based Prototyping
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    Chapter 14 Robust Regression with a Categorical Covariable
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    Chapter 15 Robustness in Discriminant Analysis
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    Chapter 16 M-Estimation and Spatial Quantiles
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    Chapter 17 Robust Statistical Methods in Interlaboratory Analytical Studies
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    Chapter 18 Estimating Distributions with a Fixed Number of Modes
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    Chapter 19 Implementing M-Estimators of the Gamma Distribution
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    Chapter 20 Constrained M-Estimation for Regression
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    Chapter 21 Inference for the Direction of the Larger of Two Eigenvectors: The Case of Circular Elongation
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    Chapter 22 High Breakdown Point Designs
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    Chapter 23 On Bayesian Robustness: An Asymptotic Approach
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    Chapter 24 Computational Aspects of Trimmed Single-Link Clustering
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    Chapter 25 Interval Probability on Finite Sample Spaces
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    Chapter 26 On Consistency of Recursive Multivariate M-Estimators in Linear Models
Attention for Chapter 14: Robust Regression with a Categorical Covariable
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Citations

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Chapter title
Robust Regression with a Categorical Covariable
Chapter number 14
Book title
Robust Statistics, Data Analysis, and Computer Intensive Methods
Published by
Springer, New York, NY, January 1996
DOI 10.1007/978-1-4612-2380-1_14
Book ISBNs
978-0-387-94660-3, 978-1-4612-2380-1
Authors

Mia Huber, Peter J. Rousseeuw

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Professor 1 13%
Student > Doctoral Student 1 13%
Unknown 6 75%
Readers by discipline Count As %
Mathematics 1 13%
Medicine and Dentistry 1 13%
Unknown 6 75%