Beyond the T-Test
This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It provides them with both an intuitive explanation of many common statistical methods and enough m...
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| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edizione: | 1st ed. 2025. |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/978-3-031-84479-9 |
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Sommario:
- Chapter 1. Populations, Samples, Parameters, and Statistics
- Chapter 2. Some Probability Concepts
- Chapter 3. Estimation, Hypothesis Testing and the Scientific Method
- Chapter 4. Binary Random Variables and Acceptance Sampling Plans
- Chapter 5. Continuous Variables, the Normal Distribution, and the Central Limit Theorem
- Chapter 6. Continuous Variables and Acceptance Sampling Plans
- Chapter 7. Confidence
- Chapter 8. Some Confidence Interval Computations, Including Bootstrapping
- Chapter 9. Linear Regression, Correlation, and Least Squares
- Chapter 10. Analysis of Variance
- Chapter 11. Poisson and Exponential Variables, Rate, and Time-to-Event
- Chapter 12. 2k Factorial Experiments
- Chapter 13. Nonparametric Methods – Rank-Based Tests, Permutation Tests and Resampling Methods
- Chapter 14. Nonlinear and Logistic Regression
- Chapter 15. Model Building
- Chapter 16. Multivariate Analysis
- Chapter 17. Bayesian Methods – Markov Chain Montel Carlo Approach
- Chapter 18. Machine Learning and Data-Intensive Methods
- Chapter 19. Time Series and Dynamic Systems
- Index.