Model Comparison
Models can be compared to each other. This can either be done when you have done an exploratory data analysis or a confirmatory data analysis. In an exploratory analysis, you formulate all models you can think of, and see which describes your data best. In a confirmatory analysis you test which of your models you have described before the data was collected fits the data best, or test if your only model fits the data. In linear regression analysis you can compare the amount of variance explained by the independent variables, R2, across the different models. In general, you can compare models that are nested by using a Likelihood-ratio test. Nested models are models that can be obtained by restricting a parameter in a more complex model to be zero.
Read more about this topic: Statistical Models
Famous quotes containing the words model and/or comparison:
“If the man who paints only the tree, or flower, or other surface he sees before him were an artist, the king of artists would be the photographer. It is for the artist to do something beyond this: in portrait painting to put on canvas something more than the face the model wears for that one day; to paint the man, in short, as well as his features.”
—James Mcneill Whistler (1834–1903)
“It is comparison than makes people miserable.”
—Chinese proverb.