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Directions in Robust Statistics and Diagnostics : Part II
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Small Sample Properties of Robust Analyses of Linear Models Based on R-Estimates: A Survey
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Chapter 2
Regression Diagnostics for Rank-Based Methods II
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Chapter 3
Robust Multivariate Spectral Analysis of the EEG
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Chapter 4
Configural Polysampling
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Chapter 5
Robustness to Unequal Scale and Other Departures from the Classical Linear Model
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Chapter 6
Unmasking Multivariate Outliers and Leverage Points by Means of BMDP3R
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Chapter 7
Glimpse: An Assessor of GLM Misspecification
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Chapter 8
Regression Quantile Diagnostics for Multiple Outliers
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Chapter 9
Robust Testing of Functionals
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Chapter 10
Robustness of the p -Subset Algorithm for Regression with High Breakdown Point
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Chapter 11
Robust Distances: Simulations and Cutoff Values
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Chapter 12
Diagnostics for Regression-Arma Time Series
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Chapter 13
General Approaches to Stepwise Identification of Unusual Values in Data Analysis
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Chapter 14
Research Directions in Robust Statistics
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Chapter 15
Comparisons Between First Order and Second Order Approximations in Regression Diagnostics
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Chapter 16
Consumer Datesware
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Chapter 17
Graphical Displays for Alternate Regression Fits
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Chapter 18
Some Issues in the Robust Estimation of Multivariate Location and Scatter
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Chapter 19
Adaptive Efficient Weighted Least Squares With Dependent Observations
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Chapter 20
A Procedure for Robust Estimation and Inference in Linear Regression
Overall attention for this book and its chapters
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Mentioned by
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Book overview
1. Small Sample Properties of Robust Analyses of Linear Models Based on R-Estimates: A Survey
2. Regression Diagnostics for Rank-Based Methods II
3. Robust Multivariate Spectral Analysis of the EEG
4. Configural Polysampling
5. Robustness to Unequal Scale and Other Departures from the Classical Linear Model
6. Unmasking Multivariate Outliers and Leverage Points by Means of BMDP3R
7. Glimpse: An Assessor of GLM Misspecification
8. Regression Quantile Diagnostics for Multiple Outliers
9. Robust Testing of Functionals
10. Robustness of the p -Subset Algorithm for Regression with High Breakdown Point
11. Robust Distances: Simulations and Cutoff Values
12. Diagnostics for Regression-Arma Time Series
13. General Approaches to Stepwise Identification of Unusual Values in Data Analysis
14. Research Directions in Robust Statistics
15. Comparisons Between First Order and Second Order Approximations in Regression Diagnostics
16. Consumer Datesware
17. Graphical Displays for Alternate Regression Fits
18. Some Issues in the Robust Estimation of Multivariate Location and Scatter
19. Adaptive Efficient Weighted Least Squares With Dependent Observations
20. A Procedure for Robust Estimation and Inference in Linear Regression
Summary
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Syllabi
Patents
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This data is correct as of December 2015 - for more up to date information, please visit
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Philosophy