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Antoch, Jaromír

Analytical Methods in Statistics

Antoch, Jaromír - Analytical Methods in Statistics, ebook

122,75€

Ebook, PDF with Adobe DRM
ISBN: 9783319513133
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Table of contents

1. A Weighted Bootstrap Procedure for Divergence Minimization Problems
Michel Broniatowski

2. Asymptotic Analysis of Iterated 1-Step Huber-Skip M-Estimators with Varying Cut-Offs
Xiyu Jiao, Bent Nielsen

3. Regression Quantile and Averaged Regression Quantile Processes
Jana Jurečková

4. Stability and Heavy-Tailness
Lev B. Klebanov

5. Smooth Estimation of Error Distribution in Nonparametric Regression Under Long Memory
Hira L. Koul, Lihong Wang

6. Testing Shape Constraints in Lasso Regularized Joinpoint Regression
Matúš Maciak

7. Shape Constrained Regression in Sobolev Spaces with Application to Option Pricing
Michal Pešta, Zdeněk Hlávka

8. On Existence of Explicit Asymptotically Normal Estimators in Nonlinear Regression Problems
Alexander Sakhanenko

9. On the Behavior of the Risk of a LASSO-Type Estimator
Silvelyn Zwanzig, M. Rauf Ahmad

Keywords: Statistics, Statistical Theory and Methods, Probability Theory and Stochastic Processes, Statistics for Business/Economics/Mathematical Finance/Insurance

Editor
 
 
 
Publisher
Springer
Publication year
2017
Language
en
Edition
1
Series
Springer Proceedings in Mathematics & Statistics
Page amount
9 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783319513133
Printed ISBN
978-3-319-51312-6

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