Robust Estimation Based on Grouped-adjusted Data
Author : Kazumitsu Nawata
Publisher :
Page : 272 pages
File Size : 12,22 MB
Release : 1986
Category :
ISBN :
Author : Kazumitsu Nawata
Publisher :
Page : 272 pages
File Size : 12,22 MB
Release : 1986
Category :
ISBN :
Author : Robert L. Launer
Publisher :
Page : 330 pages
File Size : 20,39 MB
Release : 1979
Category : Mathematics
ISBN :
An introduction to robust estimation; The robustness of residual displays; Robust smoothing; Robust pitman-like estimators; Robust estimation in the presence of outliers; Study of robustness by simulation: particularly improvement by adjustment and combination; Robust techniques for the user; Application of robust regression to trajectory data reduction; Tests for censoring of extreme values (especially) when population distributions are incompletely defined; Robust estimation for time series autoregressions; Robust techniques in communication; Robustness in the strategy of scientific model building; A density-quantile function perspective on robust.
Author : Robert L. Launer
Publisher : Academic Press
Page : 313 pages
File Size : 35,55 MB
Release : 2014-05-12
Category : Mathematics
ISBN : 1483263363
Robustness in Statistics contains the proceedings of a Workshop on Robustness in Statistics held on April 11-12, 1978, at the Army Research Office in Research Triangle Park, North Carolina. The papers review the state of the art in statistical robustness and cover topics ranging from robust estimation to the robustness of residual displays and robust smoothing. The application of robust regression to trajectory data reduction is also discussed. Comprised of 14 chapters, this book begins with an introduction to robust estimation, paying particular attention to iteration schemes and error structure of estimators. Sensitivity and influence curves as well as their connection with jackknife estimates are described. The reader is then introduced to a simple analog of trimmed means that can be used for studying residuals from a robust point-of-view; a class of robust estimators (called P-estimators) based on the location and scale-invariant Pitman estimators of location; and robust estimation in the presence of outliers. Subsequent chapters deal with robust regression and its use to reduce trajectory data; tests for censoring of extreme values, especially when population distributions are incompletely defined; and robust estimation for time series autoregressions. This monograph should be of interest to mathematicians and statisticians.
Author : Rand R. Wilcox
Publisher : Academic Press
Page : 930 pages
File Size : 30,3 MB
Release : 2021-09-18
Category : Mathematics
ISBN : 0128200995
Introduction to Robust Estimating and Hypothesis Testing, Fifth Edition is a useful 'how-to' on the application of robust methods utilizing easy-to-use software. This trusted resource provides an overview of modern robust methods, including improved techniques for dealing with outliers, skewed distribution curvature, and heteroscedasticity that can provide substantial gains in power. Coverage includes techniques for comparing groups and measuring effect size, current methods for comparing quantiles, and expanded regression methods for both parametric and nonparametric techniques. The practical importance of these varied methods is illustrated using data from real world studies. Over 1700 R functions are included to support comprehension and practice. - Includes the latest developments in robust regression - Provides many new, improved and accessible R functions - Offers comprehensive coverage of ANOVA and ANCOVA methods
Author : Kazumitsu Nawata
Publisher :
Page : 26 pages
File Size : 40,86 MB
Release : 1993
Category :
ISBN :
Author :
Publisher :
Page : 660 pages
File Size : 20,41 MB
Release : 1997
Category : Statistics
ISBN :
Author : Frank R. Hampel
Publisher : John Wiley & Sons
Page : 502 pages
File Size : 48,12 MB
Release : 2011-09-20
Category : Mathematics
ISBN : 1118150686
The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "This is a nice book containing a wealth of information, much ofit due to the authors. . . . If an instructor designing such acourse wanted a textbook, this book would be the best choiceavailable. . . . There are many stimulating exercises, and the bookalso contains an excellent index and an extensive list ofreferences." —Technometrics "[This] book should be read carefully by anyone who isinterested in dealing with statistical models in a realisticfashion." —American Scientist Introducing concepts, theory, and applications, RobustStatistics is accessible to a broad audience, avoidingallusions to high-powered mathematics while emphasizing ideas,heuristics, and background. The text covers the approach based onthe influence function (the effect of an outlier on an estimater,for example) and related notions such as the breakdown point. Italso treats the change-of-variance function, fundamental conceptsand results in the framework of estimation of a single parameter,and applications to estimation of covariance matrices andregression parameters.
Author :
Publisher :
Page : 824 pages
File Size : 33,66 MB
Release : 1991
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ISBN :
Author : Kazumitsu Nawata
Publisher :
Page : 66 pages
File Size : 42,43 MB
Release : 1989
Category : Estimation theory
ISBN :
Author :
Publisher :
Page : 1272 pages
File Size : 19,97 MB
Release : 1990
Category : Economics
ISBN :