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	Provedor de dados 31 (2) Autor Karbasi, Ali Reza (2) Fahimifard, Seiad Mohammad (1) Koshteh, M.H. Karim (1) Laskukalayeh, Somayeh Shirzadi (1) Palavra-chave Agriculture (1) Demand and Price Analysis (1) Energy. (1) Forecasting (1) Free trading (1) International Development (1) International Relations/Trade (1) Investment (1) Labour (1) Marketing (1) NNARX (1) Poultry Retail Price (1) Mais... Tipo do documento Conference Paper or Presentation (2) Ano 2009 (1) 2003 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última FREE TRADE AND ECONOMIC GROWTH RESOURCES OF IRAN AGRICULTURE 31 Koshteh, M.H. Karim; Karbasi, Ali Reza. Free trading is considered as index of global economy and factor economic growth in many countries. In this study along with recognition of growth resources, those factors such as surplus value, Labour, capital, energy, government planning and expenditure which playing the main role in economic growth has been identified and analyzed. Also, international trade index impact along with other effective factors on surplus value are considered and estimated. The results show that Labour and energy are the most effective inputs on surplus value respectively. Then supposing that the sector experienced a productive agronomic year and supporting that Iran country was committed to a free trading framework, the relationships between various related variables were... Tipo: Conference Paper or Presentation Palavras-chave: Free trading; Agriculture; Investment; Labour; Energy.; International Development; International Relations/Trade. Ano: 2003 URL: http://purl.umn.edu/25927 Comparison of NNARX, ANN and ARIMA Techniques to Poultry Retail Price Forecasting 31 Karbasi, Ali Reza; Laskukalayeh, Somayeh Shirzadi; Fahimifard, Seiad Mohammad. The lack of study among the economic forecasting literature that can empirically proves the hypothesis of being more powerfulness of dynamic neural networks in comparison with the static neural networks models for forecasting, is the most important motivation of this study. In this paper, the utilization of NNARX as a nonlinear dynamic neural network model, ANN as a nonlinear static neural network model and ARIMA as a linear model were compared to forecast poultry retail price. As a case study on Iranian poultry retail price, we compare forecast performance of these models for three forecasts (1, 2 and 4 week ahead). Results show that NNARX and ANN models outperform ARIMA model, and also NNARX model outperforms ANN model for all three forecasts. Tipo: Conference Paper or Presentation Palavras-chave: NNARX; Poultry Retail Price; Forecasting; Demand and Price Analysis; Marketing. Ano: 2009 URL: http://purl.umn.edu/50321 Registros recuperados: 2 Primeira ... 1 ... Última

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