A Guide to Robust Statistical Methods
Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true—but they continue to perform well in situations where classic methods perform poorly....
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| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Edició: | 1st ed. 2023. |
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| Accés en línia: | https://doi.org/10.1007/978-3-031-41713-9 |
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Taula de continguts:
- 1. Introduction
- 2. The one-sample case
- 3. Comparing two independent groups
- 4. Comparing two dependent groups
- 5. Comparing multiple independent groups
- 6. Comparing multiple dependent groups
- 7. Robust regression estimators
- 8. Inferential methods based on robust regression estimators
- 9. Measures of association
- 10. Comparing groups when there is a covariate.