Introduction to robust estimation and hypothesis testing:
Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,ïŽis a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can pr...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam
Academic Press
2017
|
| Edition: | Fourth edition |
| Series: | Statistical Modeling and Decision Science
Statistical modeling and decision science |
| Subjects: | |
| Online Access: | FAW01 Volltext Volltext |
| Summary: | Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,ïŽis a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised contentCovers many new and improved R functionsNew techniques that deal with a wide range of situations |
| Item Description: | 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 12. ANCOVA Literaturverzeichnis Seite 741 - 777 Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk StEdNL Previous edition: 2012 |
| Physical Description: | 1 Online-Ressource (XXIII, 786 Seiten) Illustrationen |
| ISBN: | 012804733X 012804781X 9780128047330 9780128047811 |
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| index_date | 2024-07-03T21:51:15Z |
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| institution | BVB |
| isbn | 012804733X 012804781X 9780128047330 9780128047811 |
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| spelling | Wilcox, Rand R. Verfasser (DE-588)141426241 aut Introduction to robust estimation and hypothesis testing Rand R. Wilcox Fourth edition Amsterdam Academic Press 2017 1 Online-Ressource (XXIII, 786 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Statistical Modeling and Decision Science Statistical modeling and decision science 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 12. ANCOVA Literaturverzeichnis Seite 741 - 777 Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk StEdNL Previous edition: 2012 Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,ïŽis a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised contentCovers many new and improved R functionsNew techniques that deal with a wide range of situations Online-Ausg. Robuste Schätzung (DE-588)4178265-3 gnd rswk-swf Statistische Entscheidungstheorie (DE-588)4077850-2 gnd rswk-swf Statistischer Test (DE-588)4077852-6 gnd rswk-swf Statistical hypothesis testing Estimation theory Robust statistics Statistischer Test (DE-588)4077852-6 s DE-604 Robuste Schätzung (DE-588)4178265-3 s Statistische Entscheidungstheorie (DE-588)4077850-2 s https://www.sciencedirect.com/book/9780128047330 Verlag URL des Erstveröffentlichers Volltext X:ELSEVIER http://www.sciencedirect.com/science/book/9780128047330 Verlag Volltext |
| spellingShingle | Wilcox, Rand R. Introduction to robust estimation and hypothesis testing Robuste Schätzung (DE-588)4178265-3 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Statistischer Test (DE-588)4077852-6 gnd |
| subject_GND | (DE-588)4178265-3 (DE-588)4077850-2 (DE-588)4077852-6 |
| 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_exact_search_txtP | 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 | Robuste Schätzung (DE-588)4178265-3 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Statistischer Test (DE-588)4077852-6 gnd |
| topic_facet | Robuste Schätzung Statistische Entscheidungstheorie Statistischer Test |
| url | https://www.sciencedirect.com/book/9780128047330 http://www.sciencedirect.com/science/book/9780128047330 |
| work_keys_str_mv | AT wilcoxrandr introductiontorobustestimationandhypothesistesting |