Introduction to Probability, Statistics & R Foundations for Data-Based Sciences /
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. R...
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| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
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| Edizione: | 1st ed. 2024. |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/978-3-031-37865-2 |
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Sommario:
- Part I Introduction to basic Statistics and R
- 1 Introduction to basic statistics
- 2 Getting started with R
- Part II Introduction to Probability
- 3 Introduction to probability
- 4 Conditional probability and independence
- 5 Random variables and their probability distributions
- 6 Standard discrete distributions
- 7 Standard continuous distributions
- 8 Joint distributions and the CLT
- Part III Introduction to Statistical Inference
- 9 Introduction to statistical inference
- 10 Methods of point estimation
- 11 Interval estimation
- 12 Hypothesis testing
- Part IV Advanced Distribution Theory and Probability
- 13 Generating functions
- 14 Transformation and transformed distributions
- 15 Multivariate distributions
- 16 Convergence of estimators
- Part V Introduction to statistical modelling
- 17 Simple linear regression model
- 18 Multiple linear regression model
- 19 Analysis of variance
- Appendix: Table of common distributions.