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...
保存先:
| 第一著者: | |
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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Amsterdam ; Boston :
Academic Press,
2012.
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| 版: | 3rd ed. |
| 主題: | |
| オンライン･アクセス: | An electronic book accessible through the World Wide Web; click to view |
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目次:
- 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.