In the exponential smoothing with trend and cyclical factors model, the gamma value is a cyclical factor. B C H. 1 Stylized Example for the Holt-Winters Method Alpha 0.2 Beta 0.5 Gamma 0.6 4 Period C(t) Forecast 1.10 Observed S(t) T(t) 0.0 Error 6. 1 110 100.0 7 120 100.0 0.0 1.20 3 90 100.0 0.0 0.90 9. 4 80 100.0 0.0 0.80 10 121 102.0 1.0 1.15 110.0 -11.0 11 6. 144 106.4 2.7 1.29 123.6 -20.4 12 7 117 113.3 4.8 0.98 98.2 -18.8 Select one: O True O False
In the exponential smoothing with trend and cyclical factors model, the gamma value is a cyclical factor. B C H. 1 Stylized Example for the Holt-Winters Method Alpha 0.2 Beta 0.5 Gamma 0.6 4 Period C(t) Forecast 1.10 Observed S(t) T(t) 0.0 Error 6. 1 110 100.0 7 120 100.0 0.0 1.20 3 90 100.0 0.0 0.90 9. 4 80 100.0 0.0 0.80 10 121 102.0 1.0 1.15 110.0 -11.0 11 6. 144 106.4 2.7 1.29 123.6 -20.4 12 7 117 113.3 4.8 0.98 98.2 -18.8 Select one: O True O False
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
2
![In the exponential smoothing with trend and cyclical factors model, the
gamma value is a cyclical factor.
C
1 Stylized Example for the Holt-Winters Method
2
Alpha
0.2
Beta
0.5
Gamma
0.6
4
Period
S(t)
100.0
C(t) Forecast
1.10
Observed
T(t)
Error
6.
1
110
0.0
120
100.0
0.0
1.20
3.
90
100.0
0.0
0.90
9.
4
80
100.0
0.0
0.80
102.0
1.15
110.0
-11.0
10
121
1.0
11
6.
144
106.4
2.7
1.29
123.6
-20.4
12
117
113.3
4.8
0.98
98.2
-18.8
Select one:
O True
O False
true or false with reason and calculation](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F34fddd2c-9cac-4dd1-8565-d4899e3a6f1b%2F1b3989e9-1d65-45aa-a01c-ecceecf3a700%2F8m5s3o_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In the exponential smoothing with trend and cyclical factors model, the
gamma value is a cyclical factor.
C
1 Stylized Example for the Holt-Winters Method
2
Alpha
0.2
Beta
0.5
Gamma
0.6
4
Period
S(t)
100.0
C(t) Forecast
1.10
Observed
T(t)
Error
6.
1
110
0.0
120
100.0
0.0
1.20
3.
90
100.0
0.0
0.90
9.
4
80
100.0
0.0
0.80
102.0
1.15
110.0
-11.0
10
121
1.0
11
6.
144
106.4
2.7
1.29
123.6
-20.4
12
117
113.3
4.8
0.98
98.2
-18.8
Select one:
O True
O False
true or false with reason and calculation
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