Time Series Forecasting Using Holt-Winters Exponential Smoothing: Application to Abaca Fiber Data
نویسندگان
چکیده
This study utilized the data on abaca fiber production and used Holt-Winters model to forecast since studied variable is characterized by a fairly strong intensity of seasonality. For construction forecasts, additive multiplicative models were used. The most accurate forecasts selected basis Mean Square Error, Root Absolute Percentage Scaled Error. It was found that method had higher accuracy, hence it for next three years. According findings, anticipated 2021-2023 showed an increase up second quarter, but then declining afterwards.
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ژورنال
عنوان ژورنال: Scientific Journal Warsaw University of Life Sciences-SGGW
سال: 2022
ISSN: ['2544-0659', '2081-6960']
DOI: https://doi.org/10.22630/prs.2022.22.2.6