Applied Statistics, Part 2
- Applied Statistics, Part 2 (remote course)
- This ten-hour course will cover methods of single linear regression, with a derivation of the properties of the estimators of slope and intercept, including the interval estimation of the prediciton. It will furthemore cover goodness-of-fit tests and the analysis of contingency tables. It will provide an introduction to the ANOVA methods and to non-parametric mathods commonly used in statistics.
- In this course, some emphasis will be put on mathematical derivations in order to understand why and how the estimators follow certain distributions. An elementary background in calculus is very helpful. Knowledge of Probability Theory will definitively help.
- At the end and during the course you will have access to the lecture notes and to unique and dedicated python scripts useful to understand and solve the exercises.
