Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659389749 ISBN 13: 9783659389740
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 112,29
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Añadir al carritoCondición: New. pp. 284.
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659389749 ISBN 13: 9783659389740
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 230,94
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Añadir al carritopaperback. Condición: New. New. book.
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659389749 ISBN 13: 9783659389740
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 66,32
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Añadir al carritoCondición: 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.
Publicado por LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10: 3659389749 ISBN 13: 9783659389740
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 74,90
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659389749 ISBN 13: 9783659389740
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 82,90
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10: 3659389749 ISBN 13: 9783659389740
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 82,90
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659389749 ISBN 13: 9783659389740
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 118,86
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Añadir al carritoCondición: 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.
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659389749 ISBN 13: 9783659389740
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 121,37
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 284.