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Introduction to Robust Estimation and Hypothesis Testing.
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier Science,
2012.
|
| Edición: | 3rd ed. |
| Colección: | Statistical modeling and decision science.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 082 | 0 | 4 | |a 519.544 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Wilcox, Rand R. | |
| 245 | 1 | 0 | |a Introduction to Robust Estimation and Hypothesis Testing. |
| 250 | |a 3rd ed. | ||
| 260 | |a Burlington : |b Elsevier Science, |c 2012. | ||
| 300 | |a 1 online resource (713 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Statistical Modeling and Decision Science. | |
| 520 | |a 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 R. | ||
| 505 | 0 | |a Front Cover; Introduction to Robust Estimation and Hypothesis Testing; Copyright; Table of Contents; Preface; 1 Introduction; 1.1 Problems with Assuming Normality; 1.2 Transformations; 1.3 The Influence Curve; 1.4 The Central Limit Theorem; 1.5 Is the ANOVA F Robust?; 1.6 Regression; 1.7 More Remarks; 1.8 Using the Computer: R; 1.9 Some Data Management Issues; 1.9.1 Eliminating Missing Values; 2 A Foundation for Robust Methods; 2.1 Basic Tools for Judging Robustness; 2.1.1 Qualitative Robustness; 2.1.2 Infinitesimal Robustness; 2.1.3 Quantitative Robustness. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Estimation theory. | |
| 650 | 0 | |a Robust estimation. | |
| 650 | 0 | |a Robust statistics. | |
| 650 | 0 | |a Statistical hypothesis testing. | |
| 650 | 4 | |a Estimation theory. | |
| 650 | 4 | |a Robust estimation. | |
| 650 | 4 | |a Robust statistics. | |
| 650 | 4 | |a Statistical hypothesis testing. | |
| 650 | 6 | |a Théorie de l'estimation. | |
| 650 | 6 | |a Statistiques robustes. | |
| 650 | 6 | |a Tests d'hypothèses (Statistique) | |
| 650 | 7 | |a Estimation theory |2 fast | |
| 650 | 7 | |a Robust statistics |2 fast | |
| 650 | 7 | |a Statistical hypothesis testing |2 fast | |
| 758 | |i has work: |a Introduction to robust estimation and hypothesis testing (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFPBpBC3BJ7rW3w4G6KYWC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |z 9780123869838 |
| 830 | 0 | |a Statistical modeling and decision science. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=858695 |z Texto completo |
| 880 | 8 | |6 505-00/(S |a 3.5.3 The Maritz-Jarrett Estimate of the Standard Error of xq3.5.4 R Function mjse; 3.5.5 The Harrell-Davis Estimator; 3.5.6 R Function hd; 3.5.7 A Bootstrap Estimate of the Standard Error of θq; 3.5.8 R Function hdseb; 3.6 An M-Estimator of Location; 3.6.1 R Function mad; 3.6.2 Computing an M-estimator of Location; 3.6.3 R Functions mest; 3.6.4 Estimating the Standard Error of the M-estimator; 3.6.5 R Function mestse; 3.6.6 A Bootstrap Estimate of the Standard Error of μm; 3.6.7 R Function mestseb; 3.7 One-Step M-estimator; 3.7.1 R Function onestep; 3.8 W-estimators. | |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL858695 | ||
| 994 | |a 92 |b IZTAP | ||