Consider the following three AR(2) (quadratic) problems of the form
in each case, complete the following steps:
i. Determine the coefficients and .
ii. Simulate the data according to this model, with n = 800.
iii. Fit models A(1)…AR(4) to the data using the or ar.mle().
iv. Complete a table that uses AIC, BIC, and hypothesis testing to select the best model.
v. Verify, using pacf(), that the partial autocorrelation plot produces similar results to your table for the hypothesis testing part of the table. Explain what you are looking to in your table and the pacf () plot.
Already registered? Login
Not Account? Sign up
Enter your email address to reset your password
Back to Login? Click here