21. Generalized Linear Models

1:17:20
22. Generalized Linear Models (cont.)

1:18:03
1. Introduction to Statistics

11:48
Explaining generalized linear models (GLMs)

50:05
6. Monte Carlo Simulation

20:19
Understanding Generalized Linear Models (Logistic, Poisson, etc.)

23:30
Esed sonrası Suriye | Şam - Dünyanın en eski başkenti

1:18:05
17. Bayesian Statistics

17:36