With a smoothing constant of a = .2, equation (17.2) shows that the forecast for week 13of the gasoline sales data from table 17.1 is given by F13 = .2Y12 + .8F12. however, theforecast for week 12 is given by F12 = .2Y11 + .8F11. thus, we could combine these tworesults to show that the forecast for week 13 can be writtenF13 5 .2Y12 1 .8(.2Y11 1 .8F11) 5 .2Y12 1 .16Y11 1 .64Y11 1 .64F11a. Making use of the fact that F11 = .2Y10 + .8F10 (and similarly for F10 and F9), continueto expand the expression for F13 until it is written in terms of the past data values Y12,Y11, Y10, Y9, Y8, and the forecast for period 8.
With a smoothing constant of a = .2, equation (17.2) shows that the forecast for week 13of the gasoline sales data from table 17.1 is given by F13 = .2Y12 + .8F12. however, theforecast for week 12 is given by F12 = .2Y11 + .8F11. thus, we could combine these tworesults to show that the forecast for week 13 can be writtenF13 5 .2Y12 1 .8(.2Y11 1 .8F11) 5 .2Y12 1 .16Y11 1 .64Y11 1 .64F11a. Making use of the fact that F11 = .2Y10 + .8F10 (and similarly for F10 and F9), continueto expand the expression for F13 until it is written in terms of the past data values Y12,Y11, Y10, Y9, Y8, and the forecast for period 8.
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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With a smoothing constant of a = .2, equation (17.2) shows that the forecast for week 13
of the gasoline sales data from table 17.1 is given by F13 = .2Y12 + .8F12. however, the
forecast for week 12 is given by F12 = .2Y11 + .8F11. thus, we could combine these two
results to show that the forecast for week 13 can be written
F13 5 .2Y12 1 .8(.2Y11 1 .8F11) 5 .2Y12 1 .16Y11 1 .64Y11 1 .64F11
a. Making use of the fact that F11 = .2Y10 + .8F10 (and similarly for F10 and F9), continue
to expand the expression for F13 until it is written in terms of the past data values Y12,
Y11, Y10, Y9, Y8, and the forecast for period 8.
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