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An Empirical Investigation of the Behavior of Bounded-influence Regression Estimators

An Empirical Investigation of the Behavior of Bounded-influence Regression Estimators PDF Author: Steven Arthur Edelstein
Publisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 306

Book Description


An Empirical Investigation of the Behavior of Bounded-influence Regression Estimators

An Empirical Investigation of the Behavior of Bounded-influence Regression Estimators PDF Author: Steven Arthur Edelstein
Publisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 306

Book Description


Robust Statistics, Data Analysis, and Computer Intensive Methods

Robust Statistics, Data Analysis, and Computer Intensive Methods PDF Author: Helmut Rieder
Publisher: Springer
ISBN:
Category : Mathematics
Languages : en
Pages : 454

Book Description
This book gathers together a wide range of contributions on modern techniques which are becoming widely used in statistics. These methods include the bootstrap, nonparametric density estimation, robust regression, and projections and sections.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1460

Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Annual Report

Annual Report PDF Author: New York State School of Industrial and Labor Relations
Publisher:
ISBN:
Category : Industrial relations
Languages : en
Pages : 220

Book Description


Robust Estimation and Testing

Robust Estimation and Testing PDF Author: Robert G. Staudte
Publisher: John Wiley & Sons
ISBN: 1118165497
Category : Mathematics
Languages : en
Pages : 382

Book Description
An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems.

Library Acquisitions List

Library Acquisitions List PDF Author: Martin P. Catherwood Library
Publisher:
ISBN:
Category : Industrial relations
Languages : en
Pages : 184

Book Description


Journal of the American Statistical Association

Journal of the American Statistical Association PDF Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 388

Book Description


Working Paper Series

Working Paper Series PDF Author:
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 494

Book Description


Distributionally Robust Learning

Distributionally Robust Learning PDF Author: Ruidi Chen
Publisher:
ISBN: 9781680837728
Category : Mathematics
Languages : en
Pages : 258

Book Description


Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing PDF Author: Rand R. Wilcox
Publisher: Academic Press
ISBN: 012804781X
Category : Mathematics
Languages : en
Pages : 812

Book Description
Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition - 35% revised content - Covers many new and improved R functions - New techniques that deal with a wide range of situations - Extensive revisions to cover the latest developments in robust regression - Covers latest improvements in ANOVA - Includes newest rank-based methods - Describes and illustrated easy to use software