Here for a small dataset we have used OLS(Ordiniary Least Square) and MLE(Maximm likelihood Estimation ) to calculate the regression parameters slope(b1),intercept(b0) and standard deviation od reisduals.At the end we can conclude that both the methods of estimation produces the same result.
-
Notifications
You must be signed in to change notification settings - Fork 0
Here for a small dataset we have used OLS(Ordiniary Least Square) and MLE(Maximum likelihood Estimation ) to calculate the regression parameters slope(b1),intercept(b0) and standard deviation of reisduals.At the end we can conclude that both the methods of estimation produces the same result.
ashishyadav24092000/MAximumLIkelihoodEstimator2_TVads_and_carsold
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Here for a small dataset we have used OLS(Ordiniary Least Square) and MLE(Maximum likelihood Estimation ) to calculate the regression parameters slope(b1),intercept(b0) and standard deviation of reisduals.At the end we can conclude that both the methods of estimation produces the same result.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published