Additional information
by Jared M. Maruskin (Author)
In Part I of this series, we cover basic statistical inference and experimentation, focusing on:
- basic statistics;
- derivation and review of key distributions and their relations;
- hypothesis testing, including an in depth power analysis for the chi-squared statistic;
- experimentation, including A/B tests, stratification, one- and two-factor experiments, and an introduction to bandit algorithms;
- maximum likelihood;
- gradient descent;
- introduction to survival analysis and stochastic processes, including empirical estimation of online survival and event processes.
The theory is illustrated with simulations in Python throughout the text.
Number of Pages: 314
Dimensions: 0.66 x 9.21 x 6.14 IN
Publication Date: April 30, 2021
