Introduction to robust estimation and hypothesis testing

"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...

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Библиографические подробности
Главный автор: Wilcox, Rand R.
Соавтор: ebrary, Inc
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Amsterdam ; Boston : Academic Press, 2012.
Редактирование:3rd ed.
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Online-ссылка:An electronic book accessible through the World Wide Web; click to view
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020 |z 9780123869838 
020 |z 9780123870155 (e-book) 
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050 1 4 |a QA276.8  |b .W55 2012eb 
082 0 4 |a 519.5/44  |2 23 
100 1 |a Wilcox, Rand R. 
245 1 0 |a Introduction to robust estimation and hypothesis testing  |h [electronic resource] /  |c Rand Wilcox. 
250 |a 3rd ed. 
260 |a Amsterdam ;  |a Boston :  |b Academic Press,  |c 2012. 
300 |a xxi, 690 p. :  |b ill. 
504 |a Includes bibliographical references and index. 
505 8 |a 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. 
520 |a "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"--  |c Provided by publisher. 
533 |a Electronic reproduction.  |b Palo Alto, Calif. :  |c ebrary,  |d 2012.  |n Available via World Wide Web.  |n Access may be limited to ebrary affiliated libraries. 
650 0 |a Estimation theory. 
650 0 |a Robust statistics. 
650 0 |a Statistical hypothesis testing. 
655 7 |a Electronic books.  |2 local 
710 2 |a ebrary, Inc. 
856 4 0 |u http://site.ebrary.com/lib/daystar/Doc?id=10521171  |z An electronic book accessible through the World Wide Web; click to view 
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999 |c 133151  |d 133151