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...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam ; Boston :
Academic Press,
2012.
|
Ausgabe: | 3rd ed. |
Schriftenreihe: | Statistical modeling and decision science
|
Schlagworte: | |
Online-Zugang: | Volltext Volltext |
Zusammenfassung: | 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. "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"-- |
Beschreibung: | 1 online resource (xxi, 690 pages) : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9780123870155 0123870151 1283394081 9781283394086 |
Internformat
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245 | 1 | 0 | |a Introduction to robust estimation and hypothesis testing / |c Rand R. Wilcox. |
250 | |a 3rd ed. | ||
260 | |a Amsterdam ; |a Boston : |b Academic Press, |c 2012. | ||
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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 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. | ||
505 | 0 | |a 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 | ||
504 | |a Includes bibliographical references and index. | ||
588 | 0 | |a Print version record. | |
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650 | 0 | |a Robust statistics. |0 http://id.loc.gov/authorities/subjects/sh85114641 | |
650 | 0 | |a Statistical hypothesis testing. |0 http://id.loc.gov/authorities/subjects/sh85127567 | |
650 | 6 | |a Théorie de l'estimation. | |
650 | 6 | |a Statistiques robustes. | |
650 | 6 | |a Tests d'hypothèses (Statistique) | |
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Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-ocn775791707 |
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adam_text | |
any_adam_object | |
author | Wilcox, Rand R. |
author_GND | http://id.loc.gov/authorities/names/n84003812 |
author_facet | Wilcox, Rand R. |
author_role | |
author_sort | Wilcox, Rand R. |
author_variant | r r w rr rrw |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | QA276 |
callnumber-raw | QA276.8 .W55 2012 |
callnumber-search | QA276.8 .W55 2012 |
callnumber-sort | QA 3276.8 W55 42012 |
callnumber-subject | QA - Mathematics |
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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. |
ctrlnum | (OCoLC)775791707 |
dewey-full | 519.5/44 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5/44 |
dewey-search | 519.5/44 |
dewey-sort | 3519.5 244 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
edition | 3rd ed. |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn775791707 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:18:14Z |
institution | BVB |
isbn | 9780123870155 0123870151 1283394081 9781283394086 |
language | English |
oclc_num | 775791707 |
open_access_boolean | |
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publisher | Academic Press, |
record_format | marc |
series2 | Statistical modeling and decision science |
spelling | Wilcox, Rand R. https://id.oclc.org/worldcat/entity/E39PBJm4YfxqtmM48R7gryWJjC http://id.loc.gov/authorities/names/n84003812 Introduction to robust estimation and hypothesis testing / Rand R. Wilcox. 3rd ed. Amsterdam ; Boston : Academic Press, 2012. 1 online resource (xxi, 690 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Statistical modeling and decision science 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. 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. "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 Includes bibliographical references and index. Print version record. Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Robust statistics. http://id.loc.gov/authorities/subjects/sh85114641 Statistical hypothesis testing. http://id.loc.gov/authorities/subjects/sh85127567 Théorie de l'estimation. Statistiques robustes. Tests d'hypothèses (Statistique) MATHEMATICS Probability & Statistics General. bisacsh Estimation theory fast Robust statistics fast Statistical hypothesis testing fast Robuuste statistiek. gtt Schattingstheorie. gtt Hypothesetoetsing. gtt has work: Introduction to robust estimation and hypothesis testing (Text) https://id.oclc.org/worldcat/entity/E39PCFPBpBC3BJ7rW3w4G6KYWC https://id.oclc.org/worldcat/ontology/hasWork Print version: Wilcox, Rand R. Introduction to robust estimation and hypothesis testing. 3rd ed. Amsterdam ; Boston : Academic Press, 2012 9780123869838 (DLC) 2011047130 (OCoLC)769010678 FWS01 ZDB-4-EBA FWS_PDA_EBA https://www.sciencedirect.com/science/book/9780123869838 Volltext FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=453842 Volltext |
spellingShingle | Wilcox, Rand R. Introduction to robust estimation and hypothesis testing / 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. Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Robust statistics. http://id.loc.gov/authorities/subjects/sh85114641 Statistical hypothesis testing. http://id.loc.gov/authorities/subjects/sh85127567 Théorie de l'estimation. Statistiques robustes. Tests d'hypothèses (Statistique) MATHEMATICS Probability & Statistics General. bisacsh Estimation theory fast Robust statistics fast Statistical hypothesis testing fast Robuuste statistiek. gtt Schattingstheorie. gtt Hypothesetoetsing. gtt |
subject_GND | http://id.loc.gov/authorities/subjects/sh85044957 http://id.loc.gov/authorities/subjects/sh85114641 http://id.loc.gov/authorities/subjects/sh85127567 |
title | Introduction to robust estimation and hypothesis testing / |
title_auth | Introduction to robust estimation and hypothesis testing / |
title_exact_search | Introduction to robust estimation and hypothesis testing / |
title_full | Introduction to robust estimation and hypothesis testing / Rand R. Wilcox. |
title_fullStr | Introduction to robust estimation and hypothesis testing / Rand R. Wilcox. |
title_full_unstemmed | Introduction to robust estimation and hypothesis testing / Rand R. Wilcox. |
title_short | Introduction to robust estimation and hypothesis testing / |
title_sort | introduction to robust estimation and hypothesis testing |
topic | Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Robust statistics. http://id.loc.gov/authorities/subjects/sh85114641 Statistical hypothesis testing. http://id.loc.gov/authorities/subjects/sh85127567 Théorie de l'estimation. Statistiques robustes. Tests d'hypothèses (Statistique) MATHEMATICS Probability & Statistics General. bisacsh Estimation theory fast Robust statistics fast Statistical hypothesis testing fast Robuuste statistiek. gtt Schattingstheorie. gtt Hypothesetoetsing. gtt |
topic_facet | Estimation theory. Robust statistics. Statistical hypothesis testing. Théorie de l'estimation. Statistiques robustes. Tests d'hypothèses (Statistique) MATHEMATICS Probability & Statistics General. Estimation theory Robust statistics Statistical hypothesis testing Robuuste statistiek. Schattingstheorie. Hypothesetoetsing. |
url | https://www.sciencedirect.com/science/book/9780123869838 https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=453842 |
work_keys_str_mv | AT wilcoxrandr introductiontorobustestimationandhypothesistesting |