• Azizi, M, and Ghorbanzadeh, H. & Hatefnia, H، (۲۰۰۹). Estimation of demand for wood panels in Iran by the year 2012، J. of Fores. Re. 20:2.179-182

 

    • Billah, B., B. M. King, R. D. Snyder and A. B. Koehler(2006), Exponential smoothing model selection for forecasting, International Journal of Forecasting, 22 (2): 239-247.

 

    • Bessler, D. (1980), Aggregated personalistic beliefs on yields of selected crops estimated using ARIMA process, American Journal of Agricultural Economics, 62: 6-660.

 

    • Chou, C., C. W. Chu, and G. S. Liang (2008), A modified regression model for forecasting the volumes of Taiwan’s import containers, Mathematical and Computers Modeling, 47 (9-10): 797- 807.

 

    • Chu, L. F. (2008), A fractionally integrated autoregressive moving average approach to forecasting tourism demand, Tourism Management, ۲۹ (۱): ۷۹-۸۸٫

 

    • Ediger, V. S. and S. Akbar (2007), ARIMA forecasting of primary energy demand by fuel in Turkey, Energy Policy, ۳۵(۳): ۱۷۰۱-۱۷۰۸٫

 

    • Expert Group on Timber and Trade Statistics (2004)، Projection of Demand for Forest Products in The UK

 

    • Eviews Inc. (2004), Eviews 5 User `s Guid, Quantative Micro Software, LLC.

 

    • Gujarati, D. N. (2005), Basic econometrics, New Dehi, MC Graw Hill

 

    • Hetemaki , L. and Obersteiner, M. 2001. Us Newsprint Demand Forecasts to 2020. International inistitute for applied systems analysis (IIASA) . Interim report IR-01-070.2001. University of California. Berkeley.

 

    • Hetemaki, L. and Jarmo Mikkola (2005), Forecasting Germany ʼs Printing and Writing Paper Imports, Forest science, 51(5): 483-493

 

    • Pesaran H. M, Pesaran B. (1997), Working With Microfit 4.0: An Introduction to Econometrics, Oxford University Press, Oxford.

 

  • Sabur, S. A. and M. Ershadol-Haque (1993), analysis of rice price in Mymensing Town market: pattern and forecasting, Bangladesh Journal of Agricultural Economics, 16:61-75

 

 

پیوست

 

    1. . Free On Board ↑

 

    1. . Forecast ↑

 

    1. . Autoregressive Integrated Moving Average ↑

 

    1. . Model ↑

 

    1. . Econometrics ↑

 

    1. . Parsimony ↑

 

    1. . Disturbance or error term ↑

 

    1. . Identifiability ↑

 

    1. . Goodness of fit ↑

 

    1. . log-Linear ↑

 

    1. . Log-Log ↑

 

    1. . Double-Log ↑

 

    1. . Semi-Log models ↑

 

    1. . Dependent – Variables ↑

 

    1. . Explanatory – Variables ↑

 

    1. . time series data ↑

 

    1. . Cross – sectional data ↑

 

    1. . Pooled data ↑

 

    1. . Panel data ↑

 

    1. . Time series econometrics ↑

 

    1. . Unit Root Test ↑

 

    1. . Autoregressive(AR) process ↑

 

    1. ۲۰- Random Walk ↑

 

    1. . Dickey – Fuller Test ↑

 

    1. . . Extrapolation ↑

 

    1. ۲۴ . Weighted Moving Average ↑

 

    1. . Single Exponential Smoothing (SES) ↑

 

    1. . Double Exponential Smoothing (DES) ↑

 

    1. . Holt-Winters No Seasonal ↑

 

    1. . Holt-Winters Additive Seasonal ↑

 

    1. . Holt-Winters Multiplicative Seasonal ↑

 

    1. Exponential Smoothing ↑

 

    1. . Root Mean Squared Error ↑

 

    1. . Besller ↑

 

    1. . Mack Kiver ↑

 

    1. . Wow & Low ↑

 

    1. . Kork & koran ↑

 

    1. . Hatmaki &Oberashtiner ↑

 

    1. . Hatmaki & Milika ↑

 

    1. . Odiger & Akbar ↑

 

    1. . Choo & et al ↑

 

    1. . Research ↑

 

    1. Free-on board ↑

 

    1. . Vald-Volfoyts ↑

 

    1. . Dicky-Fuller ↑

 

    1. . Augmented Dicky-Fuller ↑

 

    1. Econometric Viwes ↑

 

    1. . Wald-Wolfowitz ↑

 

    1. . Econometric Viwes ↑

 

    1. . Vald-Wulfowitz ↑

 

    1. ‍ Unit Root Test ↑

 

    1. . Augement dicky fuller ↑

 

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