Now, suppose you run an Auto Arima and you find R gives you the following model: Identify the ARIMA (p,d,q) i.e how many p terms are there? How many q terms? Coefficients: ar1 ma1 ma2 -0.7921 -0.0970 -0.3945 s.e. 0.1396 0.1802 0.1580 sigma^2 estimated as 0.1834: log likelihood=-44.07 AIC=96.14 AICc=96.68 BIC=105.61

Now, suppose you run an Auto Arima and you find R gives you the following model: Identify the ARIMA (p,d,q) i.e how many p terms are there? How many q terms? Coefficients: ar1 ma1 ma2 -0.7921 -0.0970 -0.3945 s.e. 0.1396 0.1802 0.1580 sigma^2 estimated as 0.1834: log likelihood=-44.07 AIC=96.14 AICc=96.68 BIC=105.61

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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