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Forecasting is an important aid in effective and efficient planning. It is an attempt to predict the feature by examining the past. The main purpose of making a forecast is to gain knowledge about uncertain events that are important to our present decisions. In the present study, an attempt has been made to forecast the production of prime food grains of Indian Agriculture sector like Rice, Wheat, Pulses and Oil seeds by using different types of ARIMA models. And also to fit the best suited time series model for the data collected with the help of forecasting accuracy measures.
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Über die Autorin bzw. den Autor
He is working as Lecturer in Statistics for the U.G. & P.G. Five year integrated M.Sc. course in Dravidian University, Kuppam, Andhra Pradesh, India. He has ten years of teaching experience. He published two research papers in National, International journals and also presented four research papers at National, International seminars/conferences.
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Forecasting with Econometric Methods
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Taschenbuch. Zustand: 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 an attempt to predict the feature by examining the past. The main purpose of making a forecast is to gain knowledge about uncertain events that are important to our present decisions. In the present study, an attempt has been made to forecast the production of prime food grains of Indian Agriculture sector like Rice, Wheat, Pulses and Oil seeds by using different types of ARIMA models. And also to fit the best suited time series model for the data collected with the help of forecasting accuracy measures. 128 pp. Englisch. Bestandsnummer des Verkäufers 9783639518580
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Forecasting with Econometric Methods
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohan Babu A.He is working as Lecturer in Statistics for the U.G. & P.G. Five year integrated M.Sc. course in Dravidian University, Kuppam, Andhra Pradesh, India. He has ten years of teaching experience. He published two research pap. Bestandsnummer des Verkäufers 519128983
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Forecasting with Econometric Methods | A Comparitive Performance of ARIMA Models
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Taschenbuch. Zustand: Neu. Forecasting with Econometric Methods | A Comparitive Performance of ARIMA Models | A. Mohan Babu (u. a.) | Taschenbuch | Englisch | 2013 | Scholars' Press | EAN 9783639518580 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 120703101
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Forecasting with Econometric Methods
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Forecasting is an important aid in effective and efficient planning. It is an attempt to predict the feature by examining the past. The main purpose of making a forecast is to gain knowledge about uncertain events that are important to our present decisions. In the present study, an attempt has been made to forecast the production of prime food grains of Indian Agriculture sector like Rice, Wheat, Pulses and Oil seeds by using different types of ARIMA models. And also to fit the best suited time series model for the data collected with the help of forecasting accuracy measures.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Bestandsnummer des Verkäufers 9783639518580
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Forecasting with Econometric Methods : A Comparitive Performance of ARIMA Models
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Forecasting is an important aid in effective and efficient planning. It is an attempt to predict the feature by examining the past. The main purpose of making a forecast is to gain knowledge about uncertain events that are important to our present decisions. In the present study, an attempt has been made to forecast the production of prime food grains of Indian Agriculture sector like Rice, Wheat, Pulses and Oil seeds by using different types of ARIMA models. And also to fit the best suited time series model for the data collected with the help of forecasting accuracy measures. Bestandsnummer des Verkäufers 9783639518580
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