Introduction to robust estimation and hypothesis testing / Rand R. Wilcox.

Author/creator Wilcox, Rand R.
Format Electronic
Edition3rd ed.
Publication InfoAmsterdam ; Boston : Academic Press,
Descriptionxxi, 690 p. : ill. ; 25 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Supplemental ContentFull text available from eBook - Mathematics 2012
Subjects

SeriesStatistical modeling and decision science
Contents Machine generated contents note: Preface 1. Introduction 2. A Foundation for Robust Methods 3. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two Groups 6. Some Multivariate Methods 7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups 9. Correlation and Tests of Independence 10. Robust Regression 11. More Regression Methods.
Abstract "This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2011047130
ISBN9780123869838 (hardback)

Availability

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