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On Mathematical and Statistical Forecasting Models: Selection Criteria for Autoregressive Forecasting Models - Couverture souple
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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Présentation de l'éditeur
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.
Biographie de l'auteur
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
Edité par
LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659389749
ISBN 13 : 9783659389740
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : 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. N° de réf. du vendeur 5153036
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On Mathematical and Statistical Forecasting Models
Edité par
LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10 : 3659389749
ISBN 13 : 9783659389740
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659389740
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On Mathematical and Statistical Forecasting Models : Selection Criteria for Autoregressive Forecasting Models
Edité par
LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659389749
ISBN 13 : 9783659389740
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659389740
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On Mathematical and Statistical Forecasting Models
Edité par
LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10 : 3659389749
ISBN 13 : 9783659389740
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 284 pp. Englisch. N° de réf. du vendeur 9783659389740
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On Mathematical and Statistical Forecasting Models
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10 : 3659389749
ISBN 13 : 9783659389740
Neuf
Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 284. N° de réf. du vendeur 26128796963
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On Mathematical and Statistical Forecasting Models
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10 : 3659389749
ISBN 13 : 9783659389740
Neuf
Couverture souple
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Etat : New. Print on Demand pp. 284 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131790588
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On Mathematical and Statistical Forecasting Models
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10 : 3659389749
ISBN 13 : 9783659389740
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 284. N° de réf. du vendeur 18128796969
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On Mathematical and Statistical Forecasting Models: Selection Criteria for Autoregressive Forecasting Models
Edité par
LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659389749
ISBN 13 : 9783659389740
Neuf
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paperback. Etat : New. New. book. N° de réf. du vendeur ERICA82936593897496
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