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Forecasting Retail Sales for Furniture and Furnishing Items through the Employment of Multiple Linear Regression and Holt–Winters Models

Global economic growth, marked by rising GDP and population, has spurred demand for essential goods including furniture. This study presents a comprehensive demand forecasting analysis for retail furniture sales in the U.S. for the next 36 months using Multiple Linear Regression (MLR) and Holt–Winte...

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Principais autores: Melike Nur İnce, Çağatay Taşdemir
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2024-06-01
סדרה:Systems
נושאים:
demand forecasting
furniture industry
multiple regression analysis
Holt–Winters method
גישה מקוונת:https://www.mdpi.com/2079-8954/12/6/219
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