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Robust and Multivariate Statistical Methods

Overview of attention for book
Cover of 'Robust and Multivariate Statistical Methods'

Table of Contents

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    Book Overview
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    Chapter 1 An Analysis of David E. Tyler’s Publication and Coauthor Network
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    Chapter 2 A Review of Tyler’s Shape Matrix and Its Extensions
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    Chapter 3 On the Asymptotic Behavior of the Leading Eigenvector of Tyler’s Shape Estimator Under Weak Identifiability
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    Chapter 4 On Minimax Shrinkage Estimation with Variable Selection
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    Chapter 5 On the Finite-Sample Performance of Measure-Transportation-Based Multivariate Rank Tests
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    Chapter 6 Refining Invariant Coordinate Selection via Local Projection Pursuit
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    Chapter 7 Directional Distributions and the Half-Angle Principle
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    Chapter 8 Power M-Estimators for Location and Scatter
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    Chapter 9 On Robust Estimators of a Sphericity Measure in High Dimension
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    Chapter 10 Detecting Outliers in Compositional Data Using Invariant Coordinate Selection
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    Chapter 11 Robust Forecasting of Multiple Time Series with One-Sided Dynamic Principal Components
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    Chapter 12 Robust and Sparse Estimation of Graphical Models Based on Multivariate Winsorization
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    Chapter 13 Robustly Fitting Gaussian Graphical Models—the R Package robFitConGraph
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    Chapter 14 Robust Estimation of General Linear Mixed Effects Models
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    Chapter 15 Asymptotic Behaviour of Penalized Robust Estimators in Logistic Regression When Dimension Increases
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    Chapter 16 Conditional Distribution-Based Downweighting for Robust Estimation of Logistic Regression Models
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    Chapter 17 Bias Calibration for Robust Estimation in Small Areas
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    Chapter 18 The Diverging Definition of Robustness in Statistics and Computer Vision
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    Chapter 19 Power Calculations and Critical Values for Two-Stage Nonparametric Testing Regimes
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    Chapter 20 Data Nuggets in Supervised Learning
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    Chapter 21 Improved Convergence Rates of Normal Extremes
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    Chapter 22 Local Spectral Analysis of Qualitative Sequences via Minimum Description Length
Attention for Chapter 16: Conditional Distribution-Based Downweighting for Robust Estimation of Logistic Regression Models
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Chapter title
Conditional Distribution-Based Downweighting for Robust Estimation of Logistic Regression Models
Chapter number 16
Book title
Robust and Multivariate Statistical Methods
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-22687-8_16
Book ISBNs
978-3-03-122686-1, 978-3-03-122687-8
Authors

Yu, Weichang, Bondell, Howard D.

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Readers by discipline Count As %
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