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Suppose that when the time index t = 5, there is an actual demand of Y5 = 52, a forecast of F5 = 62, and a smoothing constant a = 0.30. What would the forecast for the next period, Fg. be using simple exponential smoothing? 59.9 59.0 65.5 57.1 61.0

Suppose that when the time index t = 5, there is an actual demand of Y5 = 52, a forecast of F5 = 62, and a smoothing constant a = 0.30. What would the forecast for the next period, Fg. be using simple exponential smoothing? 59.9 59.0 65.5 57.1 61.0

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Suppose that when the time index t = 5, there is an actual demand of Y5 = 52, a forecast of F5 = 62, and a smoothing constant a = 0.30. What would the forecast for the next period, Fg. be using simple exponential smoothing? 59.9 59.0 65.5 57.1 61.0
Transcribed Image Text:Suppose that when the time index t = 5, there is an actual demand of Y5 = 52, a forecast of F5 = 62, and a smoothing constant a = 0.30. What would the forecast for the next period, Fg. be using simple exponential smoothing? 59.9 59.0 65.5 57.1 61.0
An additive "locally linear trend model" for a time series, Y, can be written in equation form as OY=1xbxe OY₁ =1,+ e, OY₁ =1,+ b₁ +b OY₁ =1, + b₁ +€₁
Transcribed Image Text:An additive "locally linear trend model" for a time series, Y, can be written in equation form as OY=1xbxe OY₁ =1,+ e, OY₁ =1,+ b₁ +b OY₁ =1, + b₁ +€₁
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