Cover of: Robust estimation and testing | Robert G. Staudte

Robust estimation and testing

  • 351 Pages
  • 4.24 MB
  • 7729 Downloads
  • English
by
Wiley , New York
Estimation theory., Robust statis
StatementRobert G. Staudte, Simon J. Sheather.
SeriesWiley series in probability and mathematical statistics.
ContributionsSheather, Simon J.
Classifications
LC ClassificationsQA276.8 .S74 1990
The Physical Object
Paginationxix, 351 p. ;
ID Numbers
Open LibraryOL2213810M
ISBN 100471855472
LC Control Number89036770

Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables.

Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a ‘how-to’ on the application of robust methods using available software.

Description Robust estimation and testing FB2

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.

About this book 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. Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a ‘how-to’ on the application of robust methods using available 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 by: This is useful text that I referenced in my book on the bootstrap.

The level of the book is intermediate and is appropriate for an advanced undergraduate or a graduate course in modern statistical inference. It covers both the robust estimation of location and scale and Cited by: Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true.

Purchase Introduction to Robust Estimation and Hypothesis Testing - 3rd Edition. Print Book & E-Book. ISBNBook Edition: 3. Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a ‘how-to’ on the application of robust methods using available robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well Robust estimation and testing book a deeper, more accurate and more nuanced understanding of data.

- Robust Estimation and Testing by Staudte, Robert G ; Sheather, Simon J. You Searched For: Condition: Good. This is an ex-library book and may have the usual library/used-book markings book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo.

Introduction to Robust Estimation and Hypothesis Testing book. Read reviews from world’s largest community for readers. This Robust estimation and testing book book provides a thor /5(11). Robust estimation and testing.

[Robert G Staudte; Simon J Sheather] Book, Internet Resource: All Authors / Contributors: Robert G Staudte; Simon J Sheather. Find more information about: ISBN: # ROBUST ESTIMATION (MATHEMATICAL STATISTICS). COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

robust estimation and hypothesis testing Download robust estimation and hypothesis testing or read online books in PDF, EPUB, Tuebl, and Mobi Format.

Click Download or Read Online button to get robust estimation and hypothesis testing book now.

Download Robust estimation and testing EPUB

This site is like a library, Use search box in the widget to get ebook that you want. Introduction to robust estimation and hypothesis testing Rand R. Wilcox This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression.

macros which enable the student to easily calculate robust estimators and their standard errors, robust confidence intervals, and P-values for various robust tests. These data sets and macros, plus instructions, are provided in easy-to-use form on the floppy disk accompanying the book.

Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and multivariate normality. Contains tests ofr multivariate normality and coordinate-dependent and invariant approaches. Read "Introduction to Robust Estimation and Hypothesis Testing" by Rand R.

Wilcox available from Rakuten Kobo. This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates Brand: Elsevier Science.

Download Introduction To Robust Estimation And Hypothesis Testing in PDF and EPUB Formats for free. Introduction To Robust Estimation And Hypothesis Testing Book also available for Read Online, mobi, docx and mobile and kindle reading.

Robust Estimation and Testing. Robert G. Staudte, Simon J. Sheather. ISBN: July Pages. E-Book $ Hardcover $ O-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.

Details Robust estimation and testing FB2

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 Price: $   About the Book 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.

This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods 4/5(2).

Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables. Covers latest developments in robust regression; Covers latest improvements in ANOVA/5(6).

Robust statistics are statistics with good performance for data drawn from a wide range of probability distributions, especially for distributions that are not statistical methods have been developed for many common problems, such as estimating location, scale, and regression motivation is to produce statistical methods that are not unduly affected by outliers.

Introduction to Robust Estimation and Hypothesis Testing,pages, Rand R. Wilcox, Academic Press, This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and. 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 /5(11).

Additional Sources for Math Book Reviews; About MAA Reviews; Mathematical Communication; Information for Libraries; Author Resources; Advertise with MAA; Meetings. MAA MathFest. Register Now; Registration Rates and Other Fees; Exhibitors and Sponsors; Abstracts; Mathematical Sessions.

Invited Addresses; Invited Paper Sessions; Contributed Paper. Introduction to robust estimation and hypothesis testing by Rand R. Wilcox Download eBook Introduction to robust estimation and hypothesis testing Rand R. Wilcox ebook ISBN:Format: pdf Publisher: Academic Press Page: The Task Force on Statistical Inference ().

Intr. This research monograph provides a comprehensive account of methods of mixed model analysis that are robust in various aspects, such as to violation of model assumptions, or to outliers.

It is suitable as a reference book for a practitioner who uses the mixed-effects models, and a researcher who studies these models. Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) by Wilcox, Rand R.

and a great selection of related books, art and collectibles available now at. Buy Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) 3 by Wilcox, Rand (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on eligible orders/5(6).This would now seem to be a good book for Writing a first version to be filled out and polished later Introduction to robust estimation and hypothesis testing Download eBook.

Precision of imitation as a function of preschoolers' understanding of the goal of the demonstration.This book generalizes and extends the available theory in robust and decentralized hypothesis testing. In particular, it presents a robust test for modeling errors which is independent from the assumptions that a sufficiently large number of samples is available, and that the distance is the KL-divergence.