Forecasting is an important aid in effective and efficient planning. It is a current topic of growing important in business and economic analysis. It is an attempt is predict the future by examining the past. It consists of generating unbiased estimates of future magnitude of some variable, on the basis of past and present knowledge and experience. The present work of the reasearch is focused on development of some forecasting methods with special reference to Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) methods along with residual measures. The empirical study is analyzed based on residual measures like MSE, RMSE and MAPE. It is shown that ANN out performs ARIMA in Forecasting stock market indices.
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Forecasting is an important aid in effective and efficient planning. It is a current topic of growing important in business and economic analysis. It is an attempt is predict the future by examining the past. It consists of generating unbiased estimates of future magnitude of some variable, on the basis of past and present knowledge and experience. The present work of the reasearch is focused on development of some forecasting methods with special reference to Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) methods along with residual measures. The empirical study is analyzed based on residual measures like MSE, RMSE and MAPE. It is shown that ANN out performs ARIMA in Forecasting stock market indices.
He is Working as a Senior Statistical Consultant in DUPONT INDIA LTD.He Posses the Degree of M.Sc.,M.Phil.,&Ph.D.,from S.V. University, Tirupati, He Started his career as an academician & thought at graduate & post graduate levels.He published several papers and delivered lectures in National/International/ Journals/ seminars/ conferences.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Forecasting is an important aid in effective and efficient planning. It is a current topic of growing important in business and economic analysis. It is an attempt is predict the future by examining the past. It consists of generating unbiased estimates of future magnitude of some variable, on the basis of past and present knowledge and experience. The present work of the reasearch is focused on development of some forecasting methods with special reference to Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) methods along with residual measures. The empirical study is analyzed based on residual measures like MSE, RMSE and MAPE. It is shown that ANN out performs ARIMA in Forecasting stock market indices. 212 pp. Englisch. N° de réf. du vendeur 9783659389696
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balasubramanyam P.He is Working as a Senior Statistical Consultant in DUPONT INDIA LTD.He Posses the Degree of M.Sc.,M.Phil.,&Ph.D.,from S.V. University, Tirupati, He Started his career as an academician & thought at graduate & post. N° de réf. du vendeur 5153032
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Forecasting is an important aid in effective and efficient planning. It is a current topic of growing important in business and economic analysis. It is an attempt is predict the future by examining the past. It consists of generating unbiased estimates of future magnitude of some variable, on the basis of past and present knowledge and experience. The present work of the reasearch is focused on development of some forecasting methods with special reference to Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) methods along with residual measures. The empirical study is analyzed based on residual measures like MSE, RMSE and MAPE. It is shown that ANN out performs ARIMA in Forecasting stock market indices. N° de réf. du vendeur 9783659389696
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Forecasting is an important aid in effective and efficient planning. It is a current topic of growing important in business and economic analysis. It is an attempt is predict the future by examining the past. It consists of generating unbiased estimates of future magnitude of some variable, on the basis of past and present knowledge and experience. The present work of the reasearch is focused on development of some forecasting methods with special reference to Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) methods along with residual measures. The empirical study is analyzed based on residual measures like MSE, RMSE and MAPE. It is shown that ANN out performs ARIMA in Forecasting stock market indices.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 212 pp. Englisch. N° de réf. du vendeur 9783659389696
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Taschenbuch. Etat : Neu. On Some Aspects of Forecasting Methods | A Comparative Performance of Advanced Forecasting Models | P. Balasubramanyam (u. a.) | Taschenbuch | 212 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659389696 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105740173
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