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"Fit the sales data using the Holt-Winters Additive Seasonal model, and opti-mize the smoothing constants with the Solver.b.Use the Forecast Sheet button to create a forecast worksheet.c. Which model performs better based on the MSE"   Oct-11 16,402 Jan-12 21,288 Apr-12 16,867 Jul-12 16,779 Oct-12 16,929 Jan-13 22,726 Apr-13 16,706 Jul-13 17,117 Oct-13 17,258 Jan-14 21,515 Apr-14 17,050 Jul-14 17,406 Oct-14 17,732 Jan-15 21,751 Apr-15 17,119 Jul-15 17,427 Oct-15 17,613 Jan-16 21,626 Apr-16 16,196 Jul-16 16,169 Oct-16 16,441 Jan-17 20,690 Apr-17 16,017 Jul-17 16,429 Oct-17 16,667 Jan-18 22,766 Apr-18 16,781 Jul-18 17,776 Oct-18 17,821 Jan-19 22,977 Apr-19 17,627

"Fit the sales data using the Holt-Winters Additive Seasonal model, and opti-mize the smoothing constants with the Solver.b.Use the Forecast Sheet button to create a forecast worksheet.c. Which model performs better based on the MSE"   Oct-11 16,402 Jan-12 21,288 Apr-12 16,867 Jul-12 16,779 Oct-12 16,929 Jan-13 22,726 Apr-13 16,706 Jul-13 17,117 Oct-13 17,258 Jan-14 21,515 Apr-14 17,050 Jul-14 17,406 Oct-14 17,732 Jan-15 21,751 Apr-15 17,119 Jul-15 17,427 Oct-15 17,613 Jan-16 21,626 Apr-16 16,196 Jul-16 16,169 Oct-16 16,441 Jan-17 20,690 Apr-17 16,017 Jul-17 16,429 Oct-17 16,667 Jan-18 22,766 Apr-18 16,781 Jul-18 17,776 Oct-18 17,821 Jan-19 22,977 Apr-19 17,627

MATLAB: An Introduction with Applications
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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"Fit the sales data using the Holt-Winters Additive Seasonal model, and opti-mize the smoothing constants with the Solver.b.Use the Forecast Sheet button to create a forecast worksheet.c. Which model performs better based on the MSE"

 

Oct-11 16,402 Jan-12 21,288 Apr-12 16,867 Jul-12 16,779 Oct-12 16,929 Jan-13 22,726 Apr-13 16,706 Jul-13 17,117 Oct-13 17,258 Jan-14 21,515 Apr-14 17,050 Jul-14 17,406 Oct-14 17,732 Jan-15 21,751 Apr-15 17,119 Jul-15 17,427 Oct-15 17,613 Jan-16 21,626 Apr-16 16,196 Jul-16 16,169 Oct-16 16,441 Jan-17 20,690 Apr-17 16,017 Jul-17 16,429 Oct-17 16,667 Jan-18 22,766 Apr-18 16,781 Jul-18 17,776 Oct-18 17,821 Jan-19 22,977 Apr-19 17,627

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