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On Mathematical and Statistical Forecasting Models: Selection Criteria for Autoregressive Forecasting Models - Softcover
Synopsis
In this book some mathematical and statistical models have been specified for forecasting and proposed certain criteria for choosing an appropriate forecasting model.the general method of forecasting by using regression model with the estimates of the parameters of the general linear statistical model has been described along with the estimates of the parameters of the general linear statistical model has been described along with the properties of the forecasts.Different stationary and non stationary autoregressive and moving averege processes such as AR(1),AR(2),ARMA(p,q) and ARMA(p,d,q) models have been proposed forecasting in this book.A new statistical forecasting errors to obtain good forecasts.A goodness of fit criterion for ARMA model has been suggested by using the variance ratio test statistics.Further a Modified selection criterion for selecting a forecasting model has been proposed in the book,Here,two modified criteria namely Akaike Information criterion and Schwartz Bayesian Criterion have been considered for selecting the best forecasting models.
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About the Author
He is working as a Lecturer in Statistics,S.R.J.Degree College,Atmakur, Nellore DIST,A.P,INDIA.He has 23 of Years of Teaching Experience. He has published 3 papers in National/International Journals and 3 research papers were presented at National/International Seminars/conferences.
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On Mathematical and Statistical Forecasting Models
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book some mathematical and statistical models have been specified for forecasting and proposed certain criteria for choosing an appropriate forecasting model.the general method of forecasting by using regression model with the estimates of the parameters of the general linear statistical model has been described along with the estimates of the parameters of the general linear statistical model has been described along with the properties of the forecasts.Different stationary and non stationary autoregressive and moving averege processes such as AR(1),AR(2),ARMA(p,q) and ARMA(p,d,q) models have been proposed forecasting in this book.A new statistical forecasting errors to obtain good forecasts.A goodness of fit criterion for ARMA model has been suggested by using the variance ratio test statistics.Further a Modified selection criterion for selecting a forecasting model has been proposed in the book,Here,two modified criteria namely Akaike Information criterion and Schwartz Bayesian Criterion have been considered for selecting the best forecasting models. 284 pp. Englisch. Seller Inventory # 9783659389740
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On Mathematical and Statistical Forecasting Models
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhaskar Reddy M.VijayaHe is working as a Lecturer in Statistics,S.R.J.Degree College,Atmakur, Nellore DIST,A.P,INDIA.He has 23 of Years of Teaching Experience. He has published 3 papers in National/International Journals and 3 resea. Seller Inventory # 5153036
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On Mathematical and Statistical Forecasting Models
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On Mathematical and Statistical Forecasting Models
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On Mathematical and Statistical Forecasting Models | Selection Criteria for Autoregressive Forecasting Models
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Taschenbuch. Condition: Neu. On Mathematical and Statistical Forecasting Models | Selection Criteria for Autoregressive Forecasting Models | M. Vijaya Bhaskar Reddy (u. a.) | Taschenbuch | 284 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659389740 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105711584
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On Mathematical and Statistical Forecasting Models
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LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10: 3659389749
ISBN 13: 9783659389740
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book some mathematical and statistical models have been specified for forecasting and proposed certain criteria for choosing an appropriate forecasting model.the general method of forecasting by using regression model with the estimates of the parameters of the general linear statistical model has been described along with the estimates of the parameters of the general linear statistical model has been described along with the properties of the forecasts.Different stationary and non stationary autoregressive and moving averege processes such as AR(1),AR(2),ARMA(p,q) and ARMA(p,d,q) models have been proposed forecasting in this book.A new statistical forecasting errors to obtain good forecasts.A goodness of fit criterion for ARMA model has been suggested by using the variance ratio test statistics.Further a Modified selection criterion for selecting a forecasting model has been proposed in the book,Here,two modified criteria namely Akaike Information criterion and Schwartz Bayesian Criterion have been considered for selecting the best forecasting models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 284 pp. Englisch. Seller Inventory # 9783659389740
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On Mathematical and Statistical Forecasting Models : Selection Criteria for Autoregressive Forecasting Models
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book some mathematical and statistical models have been specified for forecasting and proposed certain criteria for choosing an appropriate forecasting model.the general method of forecasting by using regression model with the estimates of the parameters of the general linear statistical model has been described along with the estimates of the parameters of the general linear statistical model has been described along with the properties of the forecasts.Different stationary and non stationary autoregressive and moving averege processes such as AR(1),AR(2),ARMA(p,q) and ARMA(p,d,q) models have been proposed forecasting in this book.A new statistical forecasting errors to obtain good forecasts.A goodness of fit criterion for ARMA model has been suggested by using the variance ratio test statistics.Further a Modified selection criterion for selecting a forecasting model has been proposed in the book,Here,two modified criteria namely Akaike Information criterion and Schwartz Bayesian Criterion have been considered for selecting the best forecasting models. Seller Inventory # 9783659389740
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On Mathematical and Statistical Forecasting Models
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On Mathematical and Statistical Forecasting Models: Selection Criteria for Autoregressive Forecasting Models
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