Problem 7 Suppose that the additive Holt-Winters method was applied to the monthly red wine data with = 0.5, y = 0.2, 8 = 0.3 and 120 = 2213.5, b120 = 47.9, and the following seasonality estimates were obtained for the last year. α = Month t Yt 109 1138 Jan Feb 110 1430 Mar 111 1809 Apr 112 1763 May 113 2200 June 114 2067 Snt -660.32 -334.45 -195.04 -66.93 181.27 125.55 Month July Aug 116 2141 Sep 117 2103 Oct 118 1972 Nov 119 2181 Dec 120 2344 Yt t 115 2503 Snt 489.57 413.68 45.44 -87.83 4.49 93.92 a. Calculate the point estimate of next February's sales y122 forecast made in month 120, i.e., ŷ122 (120). b. Consider the same method as in part (a). Suppose that the wine sales y121 was observed in January of year 11 (t = 121) as 1910 kiloliters. Update the level, the growth rate, and the seasonal factor estimates.
Problem 7 Suppose that the additive Holt-Winters method was applied to the monthly red wine data with = 0.5, y = 0.2, 8 = 0.3 and 120 = 2213.5, b120 = 47.9, and the following seasonality estimates were obtained for the last year. α = Month t Yt 109 1138 Jan Feb 110 1430 Mar 111 1809 Apr 112 1763 May 113 2200 June 114 2067 Snt -660.32 -334.45 -195.04 -66.93 181.27 125.55 Month July Aug 116 2141 Sep 117 2103 Oct 118 1972 Nov 119 2181 Dec 120 2344 Yt t 115 2503 Snt 489.57 413.68 45.44 -87.83 4.49 93.92 a. Calculate the point estimate of next February's sales y122 forecast made in month 120, i.e., ŷ122 (120). b. Consider the same method as in part (a). Suppose that the wine sales y121 was observed in January of year 11 (t = 121) as 1910 kiloliters. Update the level, the growth rate, and the seasonal factor estimates.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Transcribed Image Text:Problem 7
Suppose that the additive Holt-Winters method was applied to the monthly red wine data with
a = 0.5, y = 0.2, 8= 0.3 and 1120 = 2213.5, b120 47.9, and the following seasonality estimates
were obtained for the last year.
Month t
Yt
Jan 109 1138
Feb 110 1430
Mar 111 1809
Apr 112 1763
113 2200
May
June 114 2067
Snt
-660.32
-334.45
-195.04
-66.93
181.27
125.55
Month
July
Aug
Sep
Oct
Nov
Dec
Yt
t
115 2503
snt
489.57
116 2141
413.68
117
2103
45.44
118
1972 -87.83
119 2181
4.49
120 2344
93.92
a. Calculate the point estimate of next February's sales y122 forecast made in month 120, i.e.,
ŷ122 (120).
b. Consider the same method as in part (a). Suppose that the wine sales y121 was observed in
January of year 11 (t = 121) as 1910 kiloliters. Update the level, the growth rate, and the seasonal
factor estimates.
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