We perform the method of Moments and Maximum Likelihood estimation for a univariate Beta model based on a sample of artificially generated data. The code in R and Python can be reused for other simple Maximum Likelihood estimation problems.
-
Couldn't load subscription status.
- Fork 0
JRigh/Beta-Model-Estimation-in-R-and-Python
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Latest commit | ||||
Repository files navigation
About
Method of Moments and Maximum Likelihood estimation for a Beta model
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published