The world’s Largest Sharp Brain Virtual Experts Marketplace Just a click Away
Levels Tought:
University
| Teaching Since: | Apr 2017 |
| Last Sign in: | 438 Weeks Ago, 1 Day Ago |
| Questions Answered: | 9562 |
| Tutorials Posted: | 9559 |
bachelor in business administration
Polytechnic State University Sanluis
Jan-2006 - Nov-2010
CPA
Polytechnic State University
Jan-2012 - Nov-2016
Professor
Harvard Square Academy (HS2)
Mar-2012 - Present
(a) Generate n = 100 observations from the autoregression
x t = − . 9 x t − 2 + w t
with σ w = 1, using the method described in Example 1.10. Next, apply the moving average filter
v t = ( x t + x t − 1 + x t − 2 + x t − 3 ) / 4
to x t , the data you generated. Now plot x t as a line and superim- pose v t as a dashed line. Comment on the behavior of x t and how applying the moving average filter changes that behavior.
Repeat (a) but with
x t = cos(2 πt/ 4) .
Repeat (b) but with added N(0 , 1) noise,
x t = cos(2 πt/ 4) + w t .
Compare and contrast (a)–(c).
-----------