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Liu, Regina Y.

Robust Rank-Based and Nonparametric Methods

Liu, Regina Y. - Robust Rank-Based and Nonparametric Methods, ebook

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ISBN: 9783319390659
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Table of contents

1. Rank-Based Analysis of Linear Models and Beyond: A Review
Joseph W. McKean, Thomas P. Hettmansperger

2. Robust Signed-Rank Variable Selection in Linear Regression
Asheber Abebe, Huybrechts F. Bindele

3. Generalized Rank-Based Estimates for Linear Models with Cluster Correlated Data
John Kloke

4. Iterated Reweighted Rank-Based Estimates for GEE Models
Asheber Abebe, Joseph W. McKean, John D. Kloke, Yusuf K. Bilgic

5. On the Asymptotic Distribution of a Weighted Least Absolute Deviation Estimate for a Bifurcating Autoregressive Process
Jeff T. Terpstra

6. Applications of Robust Regression to “Big” Data Problems
Simon J. Sheather

7. Rank-Based Inference for Multivariate Data in Factorial Designs
Arne C. Bathke, Solomon W. Harrar

8. Two-Sample Rank-Sum Test for Order Restricted Randomized Designs
Yiping Sun, Omer Ozturk

9. On a Partially Sequential Ranked Set Sampling Paradigm
Douglas A. Wolfe

10. A New Scale-Invariant Nonparametric Test for Two-Sample Bivariate Location Problem with Application
Sunil Mathur, Deepak M. Sakate, Sujay Datta

11. Influence Functions and Efficiencies of k-Step Hettmansperger–Randles Estimators for Multivariate Location and Regression
Sara Taskinen, Hannu Oja

12. New Nonparametric Tests for Comparing Multivariate Scales Using Data Depth
Jun Li, Regina Y. Liu

13. Multivariate Autoregressive Time Series Using Schweppe Weighted Wilcoxon Estimates
Jaime Burgos, Jeff T. Terpstra

14. Median Stable Distributions
Gib Bassett

15. Confidence Intervals for Mean Difference Between Two Delta-Distributions
Karen V. Rosales, Joshua D. Naranjo

Keywords: Statistics, Statistical Theory and Methods, Biostatistics, Statistics for Life Sciences, Medicine, Health Sciences

Editor
 
Publisher
Springer
Publication year
2016
Language
en
Edition
1
Series
Springer Proceedings in Mathematics & Statistics
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783319390659
Printed ISBN
978-3-319-39063-5

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