Welcome to Statlect! This page gives an overview of Statlect and of its main features and characteristics.

Statlect is a collection of lectures on probability theory and mathematical statistics. It is offered as a free service to the mathematical community.

Statlect is an individual effort by its creator (Marco Taboga), a professional financial economist with a passion for mathematics.

Marco is a senior economist at the Bank of Italy. He is an expert in finance and mathematical and statistical methods applied to finance. He holds a Ph.D. in applied mathematics and a Master in finance from the London School of Economics and Political Science. He has published several articles in top scholarly journals, including Mathematical Finance, The Journal of Money Credit and Banking and International Finance.

Despite being freely accessible, it is copyrighted. This means that users of this site can read it for free, but they cannot reproduce it without authorization. This is because the creator of Statlect likes to maintain full ownership of its creature.

Statlect is actively maintained and developed by its author. New lectures are continuously added to the website and existing lectures are revised, in order to make them clearer and more complete and to eliminate (inevitable) mistakes.

Statlect visitors often send comments and suggestions that help to improve the lectures. So, the more visitors there are, the better the lectures become. To help Statlect grow, please post a link to Statlect on your blog or personal web page.

You can cite this digital textbook as:

Taboga, M. (2010) "Lectures on probability and statistics", http://www.statlect.com.

The book

Most learning materials found on this website are now available in a traditional textbook format.

Featured pages

- Hypothesis testing
- Gamma distribution
- Wishart distribution
- Convergence in distribution
- Beta function
- Exponential distribution

Explore

Main sections

- Mathematical tools
- Fundamentals of probability
- Probability distributions
- Asymptotic theory
- Fundamentals of statistics
- Glossary

About

Glossary entries

- Discrete random variable
- Almost sure
- Type II error
- Probability space
- Probability mass function
- Mean squared error

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