Generalized Linear Models and Nonparametric Regression
Completed by Evan Krause
June 25, 2022
42 hours (approximately)
Evan Krause's account is verified. Coursera certifies their successful completion of Generalized Linear Models and Nonparametric Regression
What you will learn
Describe how to generalize the linear model framework to accommodate data that is not suitable for the standard linear regression model.
State some advantages and disadvantages of (generalized) additive models.
Describe how an additive model can be generalized to incorporate non-normal response variables (i.e., define a generalized additive model).
Skills you will gain
- Category: Statistical Inference
- Category: R (Software)
- Category: Probability Distribution
- Category: Data Modeling
- Category: R Programming
- Category: Logistic Regression
- Category: Statistical Modeling
- Category: Data Analysis
- Category: Regression Analysis
- Category: Calculus
- Category: Model Evaluation
- Category: Predictive Modeling
