Applying contemporary statistical techniques
Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods underst...
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| Format: | eBook |
| Language: | English |
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Amsterdam
Academic Press
2003, 2003
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| Collection: | Elsevier eBook collection Mathematics - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- 1. Introduction
- 2. Probability and related concepts
- 3. Summarizing data
- 4. Sampling distributions and confidence intervals
- 5. Hypothesis testing
- 6. Least squares regression and Pearson's correlation
- 7. Basic bootstrap methods
- 8. Comparing two independent groups
- 9. One-way ANOVA
- 10. Two-way ANOVA
- 11. Comparing dependent groups
- 12. Multiple comparisons
- 13. Robust and exploratory regression
- 14. More regression methods
- 15. Rank-based and nonparametric methods
- Introduction; Probability and Related Concepts; Summarizing Data; Sampling Distributions and Confidence Intervals; Hypothesis Testing; Least Squares Regression and Pearson's Correlation; Basic Bootstrap Methods; Comparing Two Independent Groups; One-Way Anova; Two-Way Anova; Comparing Dependent Groups; Multiple Comparisons; Detecting Outliers in Multivariate Data; More Regression Methods; Rank-Based and Nonparametric Methods