Forecasting of Particleboard Consumption in Iran Using Univariate Time Series Models

Forecasting of Particleboard Consumption in Iran Using Univariate Time Series Models

The performance of the Autoregressive Integrated Moving Average )ARIMA) model and Double and Holt-winters exponential smoothing techniques for forecasting the consumption of particleboard in Iran are compared. Annual time series data from 1978 to 2009 in the modeling process, and observations from 2...

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Bibliographic Details
Main Authors: Amir Tavakkoli, Amir Hooman Hemmasi, Mohammad Talaeipour, Behzad Bazyar, Ajang Tajdini
Format: Article
Language:English
Published: North Carolina State University 2015-02-01
Series:BioResources
Subjects:
Forecasting
Particleboard consumption
Double exponential smoothing
ARIMA
Holt-Winters exponential smoothing
Online Access:http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_10_2_2032_Tavakkoli_Forecasting_Particleboard_Consumption

Internet

http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_10_2_2032_Tavakkoli_Forecasting_Particleboard_Consumption

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