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...
שמור ב:
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| מחבר תאגידי: | |
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | אנגלית |
| יצא לאור: |
Amsterdam ; Boston :
Academic Press,
2012.
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| מהדורה: | 3rd ed. |
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| גישה מקוונת: | An electronic book accessible through the World Wide Web; click to view |
| תגים: |
הוספת תג
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תוכן הענינים:
- 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.