4. Consider the time series data in the file sunspot.dat. It consists of 285 observations of the number of sunspots from 1700 to 1984. This a quantity that is believed to affect our weather patterns. This time series has been studied by many authors like Yule etc. We will study the square root of the data (this transformation ensures that the variance is roughly constant). That is, for the Series Z₁, Z₂,... Zn from the file sunspot.dat, first compute the series Xt = √√Zt and work with the series {X} in what follows. (a) Compute the sample ACF and the sample PACF for this series (b) By considering the sample ACF and sample PACF, decide which of the following would be appropriate for this data AR(1), AR(2), MA (1) or MA(2). Use the data to estimate the parameters of the model you have chosen.

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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The 285 observations:

  5.00
 11.00
 16.00
 23.00
 36.00
 58.00
 29.00
 20.00
 10.00
  8.00
  3.00
  0.00
  0.00
  2.00
 11.00
 27.00
 47.00
 63.00
 60.00
 39.00
 28.00
 26.00
 22.00
 11.00
 21.00
 40.00
 78.00
122.00
103.00
 73.00
 47.00
 35.00
 11.00
  5.00
 16.00
 34.00
 70.00
 81.00
111.00
101.00
 73.00
 40.00
 20.00
 16.00
  5.00
 11.00
 22.00
 40.00
 60.00
 80.90
 83.40
 47.70
 47.80
 30.70
 12.20
  9.60
 10.20
 32.40
 47.60
 54.00
 62.90
 85.90
 61.20
 45.10
 36.40
 20.90
 11.40
 37.80
 69.80
106.10
100.80
 81.60
 66.50
 34.80
 30.60
  7.00
 19.80
 92.50
154.40
125.90
 84.80
 68.10
 38.50
 22.80
 10.20
 24.10
 82.90
132.00
130.90
118.10
 89.90
 66.60
 60.00
 46.90
 41.00
 21.30
 16.00
  6.40
  4.10
  6.80
 14.50
 34.00
 45.00
 43.10
 47.50
 42.20
 28.10
 10.10
  8.10
  2.50
  0.00
  1.40
  5.00
 12.20
 13.90
 35.40
 45.80
 41.10
 30.10
 23.90
 15.60
  6.60
  4.00
  1.80
  8.50
 16.60
 36.30
 49.60
 64.20
 67.00
 70.90
 47.80
 27.50
  8.50
 13.20
 56.90
121.50
138.30
103.20
 85.70
 64.60
 36.70
 24.20
 10.70
 15.00
 40.10
 61.50
 98.50
124.70
 96.30
 66.60
 64.50
 54.10
 39.00
 20.60
  6.70
  4.30
 22.70
 54.80
 93.80
 95.80
 77.20
 59.10
 44.00
 47.00
 30.50
 16.30
  7.30
 37.60
 74.00
139.00
111.20
101.60
 66.20
 44.70
 17.00
 11.30
 12.40
  3.40
  6.00
 32.30
 54.30
 59.70
 63.70
 63.50
 52.20
 25.40
 13.10
  6.80
  6.30
  7.10
 35.60
 73.00
 85.10
 78.00
 64.00
 41.80
 26.20
 26.70
 12.10
  9.50 
  2.70 
  5.00 
 24.40 
 42.00 
 63.50 
 53.80 
 62.00 
 48.50 
 43.90 
 18.60 
  5.70 
  3.60 
  1.40 
  9.60 
 47.40 
 57.10 
103.90 
 80.60 
 63.60 
 37.60 
 26.10 
 14.20 
  5.80 
 16.70 
 44.30 
 63.90 
 69.00 
 77.80 
 64.90 
 35.70 
 21.20 
 11.10 
  5.70 
  8.70 
 36.10 
 79.70 
114.40 
109.60 
 88.80 
 67.80 
 47.50 
 30.60 
 16.30 
  9.60 
 33.20 
 92.60 
151.60 
136.30 
134.70 
 83.90 
 69.40 
 31.50 
 13.90 
  4.40 
 38.00 
141.70 
190.20 
184.80 
159.00 
112.30 
 53.90 
 37.50 
 27.90 
 10.20 
 15.10 
 47.00 
 93.80 
105.90 
105.50 
104.50 
 66.60 
 68.90 
 38.00 
 34.50 
 15.50 
 12.60 
 27.50 
 92.50 
155.40 
154.70 
140.50 
115.90 
 66.60 
 45.90 

4. Consider the time series data in the file sunspot.dat. It consists of 285 observations of the
number of sunspots from 1700 to 1984. This a quantity that is believed to affect our weather
patterns. This time series has been studied by many authors like Yule etc.
We will study the square root of the data (this transformation ensures that the variance is
roughly constant). That is, for the Series Z₁, Z₂,... Zn from the file sunspot.dat, first
compute the series X₁ = √Zt and work with the series {X} in what follows.
(a) Compute the sample ACF and the sample PACF for this series
(b) By considering the sample ACF and sample PACF, decide which of the following would be
appropriate for this data
AR(1), AR(2), MA(1) or MA(2).
Use the data to estimate the parameters of the model you have chosen.
Transcribed Image Text:4. Consider the time series data in the file sunspot.dat. It consists of 285 observations of the number of sunspots from 1700 to 1984. This a quantity that is believed to affect our weather patterns. This time series has been studied by many authors like Yule etc. We will study the square root of the data (this transformation ensures that the variance is roughly constant). That is, for the Series Z₁, Z₂,... Zn from the file sunspot.dat, first compute the series X₁ = √Zt and work with the series {X} in what follows. (a) Compute the sample ACF and the sample PACF for this series (b) By considering the sample ACF and sample PACF, decide which of the following would be appropriate for this data AR(1), AR(2), MA(1) or MA(2). Use the data to estimate the parameters of the model you have chosen.
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