choices: a. true b. false c. others (specify) 1. For stationary to attained, the data should undergone differencing so that the variance can be stabilize.  2. The series is called a white noise series if the forecast errors or residuals has no visible pattern  3. White noise models are widely used for non-stationary data.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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choices:

a. true

b. false

c. others (specify)

1. For stationary to attained, the data should undergone differencing so that the variance can be stabilize. 

2. The series is called a white noise series if the forecast errors or residuals has no visible pattern 

3. White noise models are widely used for non-stationary data.

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