| Edition |
3rd ed. |
| Description |
1 online resource (xxi, 690 pages) : illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Statistical modeling and decision science
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| Summary |
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, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations. 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 * Includes newest rank-based methods * Describes and illustrated easy to use software. |
| Contents |
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. |
| Summary |
"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 |
Includes bibliographical references and index. |
| Note |
Print version record. |
| Subject |
Estimation theory.
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Robust statistics.
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Statistical hypothesis testing.
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Théorie de l'estimation.
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Statistiques robustes.
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Tests d'hypothèses (Statistique)
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MATHEMATICS -- Probability & Statistics -- General.
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Estimation theory
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Robust statistics
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Statistical hypothesis testing
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Robuuste statistiek.
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Schattingstheorie.
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Hypothesetoetsing.
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| Other Form: |
Print version: Wilcox, Rand R. Introduction to robust estimation and hypothesis testing. 3rd ed. Amsterdam ; Boston : Academic Press, 2012 9780123869838 (DLC) 2011047130 (OCoLC)769010678 |
| ISBN |
9780123870155 (electronic bk.) |
|
0123870151 (electronic bk.) |
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1283394081 (ebk.) |
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9781283394086 (ebk.) |
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9780123869838 (print) |
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0123869838 (print) |
| Standard No. |
AU@ 000049013979 |
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CHBIS 009942982 |
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CHNEW 000722297 |
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CHNEW 001010388 |
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CHVBK 302849106 |
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DEBBG BV040900698 |
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DEBBG BV042310451 |
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DEBSZ 372890474 |
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DEBSZ 378276085 |
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DEBSZ 381367266 |
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DEBSZ 405340516 |
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DEBSZ 481268294 |
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NLGGC 370440188 |
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NZ1 14536442 |
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NZ1 15192370 |
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