Introductory Applied Statistics With Resampling Methods & R /
This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and lo...
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| Главный автор: | |
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| Соавтор: | |
| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Редактирование: | 1st ed. 2023. |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-031-27741-2 |
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Оглавление:
- 1. Foundations I: Introductory Data Analysis with R
- 2. Data Analysis in Bivariate Data: Foundations
- 3. Statistics and Data Analysis in an ANOVA Model
- 4. Statistics and Data Analysis in a Proportions Model
- 5. Statistics and Data Analysis in a Regression Model
- 6. Statistics and Data Analysis in a Logistic Model
- 7. Statistical Inference I: Randomization Methods for Hypothesis Testing
- 8. Statistical Inference II: Bootstrapping Methods for Parameter Estimation
- 9. Using Resampling Methods for Statistical Inference: Four Examples
- 10. Statistics and Data Analysis in a Pre-Post Design. .