Consider the following ARMA model for {y,}: ',=a,+ 2 j=1 +E + 1-j where {e } is the residual. Which of the following assumption(s) on the residuals {ɛ } is needed to enable forecasting with this model in practice? a. e, is normally distributed. b. is mean-independent of y,-1y,-2"** and e 1-1'€1-2'**** C. and e are stochastically independent for all ±s• O d. All of the above. QUESTION 2 How can the validity of the assumption(s) identified in Question 1 be examined in practice? O a. Use the Breusch-Pagan test, where the null hypothesis is that the distribution is normal. D. Use the Ljung-Box test, where the null hypothesis is that the first K autocorrelations are zero. с. Examine the SACF and SPACF of the estimated residuals d. Both (b) and (c).
Consider the following ARMA model for {y,}: ',=a,+ 2 j=1 +E + 1-j where {e } is the residual. Which of the following assumption(s) on the residuals {ɛ } is needed to enable forecasting with this model in practice? a. e, is normally distributed. b. is mean-independent of y,-1y,-2"** and e 1-1'€1-2'**** C. and e are stochastically independent for all ±s• O d. All of the above. QUESTION 2 How can the validity of the assumption(s) identified in Question 1 be examined in practice? O a. Use the Breusch-Pagan test, where the null hypothesis is that the distribution is normal. D. Use the Ljung-Box test, where the null hypothesis is that the first K autocorrelations are zero. с. Examine the SACF and SPACF of the estimated residuals d. Both (b) and (c).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Consider the following ARMA model for
{y,}:
P
Σ
a
+E +
b
j=1
1=1
where {e } is the residual.
Which of the following assumption(s) on the residuals {ɛ } is needed to enable forecasting with this model in practice?
O a. e is normally distributed.
Ob.
e is mean-independent of y,1,-2"*
and e
1-1'
C.
and e
are stochastically independent for all +s:
O d. All of the above.
QUESTION 2
How can the validity of the assumption(s) identified in Question 1 be examined in practice?
O a. Use the Breusch-Pagan test, where the null hypothesis is that the distribution is normal.
b.
Use the Ljung-Box test, where the null hypothesis is that the first K autocorrelations are zero.
Examine the SACF and SPACF of the estimated residuals
d. Both (b) and (c).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4c23d2d6-2ad9-4494-afe3-eb907a71a0f4%2F77c20626-0183-4da7-9381-92b2b3f6dda4%2Fhp1aagr_processed.png&w=3840&q=75)
Transcribed Image Text:Consider the following ARMA model for
{y,}:
P
Σ
a
+E +
b
j=1
1=1
where {e } is the residual.
Which of the following assumption(s) on the residuals {ɛ } is needed to enable forecasting with this model in practice?
O a. e is normally distributed.
Ob.
e is mean-independent of y,1,-2"*
and e
1-1'
C.
and e
are stochastically independent for all +s:
O d. All of the above.
QUESTION 2
How can the validity of the assumption(s) identified in Question 1 be examined in practice?
O a. Use the Breusch-Pagan test, where the null hypothesis is that the distribution is normal.
b.
Use the Ljung-Box test, where the null hypothesis is that the first K autocorrelations are zero.
Examine the SACF and SPACF of the estimated residuals
d. Both (b) and (c).
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 4 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman