Screen LibraryApplying 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Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
Academic Press,
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| Publisher Address: | Amsterdam : |
| Publication Dates: | 2003. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://www.sciencedirect.com/science/book/9780127515410 |
| Summary: |
Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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 understandable, practical, and easily accessible. * Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods * Covers the latest developments on multiple comparisons * Includes recent advances in risk-based method |
| Carrier Form: | 1 online resource (1 volume (various pagings)) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780127515410 0127515410 |
| Index Number: | QA276 |
| CLC: | O212 |
| Contents: |
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. 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. |