1. The following is the yearly coffee production (in coded units) of a certain country from 2013 to 2021. Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 t 1 2 3 4 5 6 7 8 9 21 31 29 32 16 Y 27 25 37 43 It is felt that the data can be fitted by the linear trend model, Y₁ = a + 3t+, where ~ NID(0,0²) and 3 > 0. (1) Here, ~ NID(0, 1) means ~ N(0, 1) for each t, and {e} are independent of each other at different times. (a) Find the least square estimates of a and 3, and forecast the value of 2022. [ (b) Instead of using least square estimate, it is suggested to use the Simple Expo- nential Smoothing (SES) method with exponential smoothing constant a = 0.1 and the initial forecast So = y₁ to construct 1-step ahead forecasts for the data, i.e. St = 0.1Y+0.9St-1- i. Calculate the one-step ahead forecast for the year 2015-2018. ii. Do you think SES overestimates or underestimates the model (1)? Briefly explain. iii. What do you suggest to improve the forecast and why?
1. The following is the yearly coffee production (in coded units) of a certain country from 2013 to 2021. Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 t 1 2 3 4 5 6 7 8 9 21 31 29 32 16 Y 27 25 37 43 It is felt that the data can be fitted by the linear trend model, Y₁ = a + 3t+, where ~ NID(0,0²) and 3 > 0. (1) Here, ~ NID(0, 1) means ~ N(0, 1) for each t, and {e} are independent of each other at different times. (a) Find the least square estimates of a and 3, and forecast the value of 2022. [ (b) Instead of using least square estimate, it is suggested to use the Simple Expo- nential Smoothing (SES) method with exponential smoothing constant a = 0.1 and the initial forecast So = y₁ to construct 1-step ahead forecasts for the data, i.e. St = 0.1Y+0.9St-1- i. Calculate the one-step ahead forecast for the year 2015-2018. ii. Do you think SES overestimates or underestimates the model (1)? Briefly explain. iii. What do you suggest to improve the forecast and why?
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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