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1.) An Airport manager faced a forecasting problem. He needs a model to forecast one month ahead in order to schedule part-time employment for airport services such as parking's, baggage handling, and security. Given one year historical data below, find out the best way to measure forecast accuracy at constant level as well as the number of passengers embarking one month ahead using Benchmark, Moving average and Simple smoothing models. Assumed alpha ()=0.1 TIME 1 2 3 4 5 6 7 9 10 11 12 - DATA 27 26 32 24 33 32 34 29 32 34 26 28

1.) An Airport manager faced a forecasting problem. He needs a model to forecast one month ahead in order to schedule part-time employment for airport services such as parking's, baggage handling, and security. Given one year historical data below, find out the best way to measure forecast accuracy at constant level as well as the number of passengers embarking one month ahead using Benchmark, Moving average and Simple smoothing models. Assumed alpha ()=0.1 TIME 1 2 3 4 5 6 7 9 10 11 12 - DATA 27 26 32 24 33 32 34 29 32 34 26 28

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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c) P d) The less. GO zobra 1.) An Airport manager faced a forecasting problem. He needs a model to forecast one month ahead in order to schedule part-time employment for airport services such as parking's, baggage handling, and security. Given one year historical data below, find out the best way to measure forecast accuracy at constant level as well as the number of passengers embarking one month ahead using Benchmark, Moving average and Simple smoothing models. Assumed alpha (*)=0.1 TIME 1 2 . w N 4 5 6 7 8 9 10 11 12 DATA 27 26 32 24 33 32 34 29 32 34 26 28
Transcribed Image Text:c) P d) The less. GO zobra 1.) An Airport manager faced a forecasting problem. He needs a model to forecast one month ahead in order to schedule part-time employment for airport services such as parking's, baggage handling, and security. Given one year historical data below, find out the best way to measure forecast accuracy at constant level as well as the number of passengers embarking one month ahead using Benchmark, Moving average and Simple smoothing models. Assumed alpha (*)=0.1 TIME 1 2 . w N 4 5 6 7 8 9 10 11 12 DATA 27 26 32 24 33 32 34 29 32 34 26 28
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