Articles liés à On Mathematical and Statistical Forecasting Models:...

On Mathematical and Statistical Forecasting Models: Selection Criteria for Autoregressive Forecasting Models - Couverture souple

Bhaskar Reddy, M.Vijaya; Umashankar, C.; Pagadala, Balasiddamuni

 
9783659389740: On Mathematical and Statistical Forecasting Models: Selection Criteria for Autoregressive Forecasting Models
Couverture souple
ISBN 10 : 3659389749 ISBN 13 : 9783659389740
Editeur : LAP LAMBERT Academic Publishing, 2013

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659389749
ISBN 13 
9783659389740
Reliure
Broché
Nombre de pages
284
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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