Isbn: 9783659389696 - on some aspects of forecasting methods: a comparative performance of advanced forecasting models (6 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2013

    3659389692 / 9783659389696

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

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    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2013

    3659389692 / 9783659389696

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 279,60

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. On Some Aspects of Forecasting Methods | A Comparative Performance of Advanced Forecasting Models | P. Balasubramanyam (u. a.) | Taschenbuch | 212 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659389696 | 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 Jul 2013, 2013

    3659389692 / 9783659389696

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

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    EUR 76,90

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Forecasting is an important aid in effective and efficient planning. It is a current topic of growing important in business and economic analysis. It is an attempt is predict the future by examining the past. It consists of generating unbiased estimates of future magnitude of some variable, on the basis of past and present knowledge and experience. The present work of the reasearch is focused on development of some forecasting methods with special reference to Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) methods along with residual measures. The empirical study is analyzed based on residual measures like MSE, RMSE and MAPE. It is shown that ANN out performs ARIMA in Forecasting stock market indices. 212 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2013

    3659389692 / 9783659389696

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

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    EUR 76,90

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Forecasting is an important aid in effective and efficient planning. It is a current topic of growing important in business and economic analysis. It is an attempt is predict the future by examining the past. It consists of generating unbiased estimates of future magnitude of some variable, on the basis of past and present knowledge and experience. The present work of the reasearch is focused on development of some forecasting methods with special reference to Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) methods along with residual measures. The empirical study is analyzed based on residual measures like MSE, RMSE and MAPE. It is shown that ANN out performs ARIMA in Forecasting stock market indices.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2013

    3659389692 / 9783659389696

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balasubramanyam P.He is Working as a Senior Statistical Consultant in DUPONT INDIA LTD.He Posses the Degree of M.Sc.,M.Phil.,&Ph.D.,from S.V. University, Tirupati, He Started his career as an academician & thought at graduate & post.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jul 2013, 2013

    3659389692 / 9783659389696

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 279,60

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Forecasting is an important aid in effective and efficient planning. It is a current topic of growing important in business and economic analysis. It is an attempt is predict the future by examining the past. It consists of generating unbiased estimates of future magnitude of some variable, on the basis of past and present knowledge and experience. The present work of the reasearch is focused on development of some forecasting methods with special reference to Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) methods along with residual measures. The empirical study is analyzed based on residual measures like MSE, RMSE and MAPE. It is shown that ANN out performs ARIMA in Forecasting stock market indices.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 212 pp. Englisch.…