📙 The probability and statistics cookbook
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Updated
Feb 20, 2023 - TeX
Statistics is a mathematical discipline concerned with developing and studying mathematical methods for collecting, analyzing, interpreting, and presenting large quantities of numerical data. Statistics is a highly interdisciplinary field of study with applications in fields such as physics, chemistry, life sciences, political science, and economics.
📙 The probability and statistics cookbook
📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens
the statistics handbook open source repository
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.
Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.
Geospatial Data Science with Julia
A selection of textbook-like course notes for the Imperial College Computing modules.
🎓 Lectures on mathematical statistics, conducted at CAU in Kiel, Germany (2015).
Course materials for Statistical Inference ("Inferência Estatística")
🎯 📕 Targeted Learning in R: A Causal Data Science Handbook
An introductory statistics course for social scientists, using Stata
Guide for development and peer-review of statistical software
Bayesian multilevel mediation models in R
Study notes for my state examination in Sofia University