Isbn: 9783659389740 - on mathematical and statistical forecasting models: selection criteria for autoregressive forecasting models (9 resultados)

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    • Idioma: Inglés

      Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013

      3659389749 / 9783659389740

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      Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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      EUR 128,89

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      Cantidad disponible: 4 disponibles

      Condición: New. pp. 284.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2013

      3659389749 / 9783659389740

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      Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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      paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2013

      3659389749 / 9783659389740

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      Librería: preigu, Osnabrück, Alemaniapreigu

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      EUR 299,60

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      Taschenbuch. Condición: 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Aug 2013, 2013

      3659389749 / 9783659389740

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      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2013

      3659389749 / 9783659389740

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      Librería: moluna, Greven, Alemaniamoluna

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      EUR 67,39

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      Condición: 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.

    • Idioma: Inglés

      Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013

      3659389749 / 9783659389740

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      Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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      EUR 131,06

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      Cantidad disponible: 4 disponibles

      Condición: 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.

    • Idioma: Inglés

      Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013

      3659389749 / 9783659389740

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      Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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      EUR 133,89

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      Cantidad disponible: 4 disponibles

      Condición: New. PRINT ON DEMAND pp. 284.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2013

      3659389749 / 9783659389740

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      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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      EUR 82,90

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      Taschenbuch. 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Aug 2013, 2013

      3659389749 / 9783659389740

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      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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      EUR 299,60

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      Taschenbuch. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 284 pp. Englisch.