Part I: Foundations
- Probability
- Probability II
- Basic Statistics
Part II: Estimation:
- Parameters
- Estimators
- Maximum Likelihood Estimation
- Method of Moments
- Confidence Interval for Parameter Estimates
Part III: Building More Complex Distributions
- Extreme Value Theory
- Mixture Distributions
- Kernel Density Estimation
- Compound Distributions
- Marginal Likelihood
- Compound Poisson Distributions
- Generalized Linear Models (GLM)
- Logistic Regression Visualizer
- Modeling Zero-Inflated Data
Part IV: Multivariate Distributions
- Introduction to Multivariate Distributions
- Dependence
- Copula
Help Support this Project
Reach Support
Sharing and linking to this textbook helps drive traffic to the website, which in turn helps out the project.
Any advertisement is greatly appreciated!
This textbook is currently just an effort by me.
You can donate through
Paypal if you wish to support the project.
Donations help me continue to provide content since the content is intended to be free and accessible.
Any amount is greatly appreciated.
Content Support
Two major limitations to this project are:
- Limits to the author's knowledge
- Limited figures and diagrams
If you wish to help flesh out the content in this eTextbook, please get in contact with the main author.
Contact the Author
The best way to reach out to me is on
Linkedin.