Question 1
In a Likelihood Ratio Test comparing two nested models, what does the degrees of freedom for the chi-squared distribution correspond to?
Question 2
Which of the following best describes the null hypothesis in a Likelihood Ratio Test for nested models?
Question 3
What is the formula for the Likelihood Ratio Test statistic $\Lambda$?
Question 4
If the Likelihood Ratio Test statistic is significantly large, what does this imply about the null hypothesis?
Question 5
Why are asymptotic distributions used in Likelihood Ratio Tests?
