Advanced Forecasting Techniques with Application to NN5 Time Series | New Bayesian Formulation for Holt's Exponential Smoothing and Comparison of Forecasting Combination Techniques

Robert Andrawis

ISBN 10: 3659129623 ISBN 13: 9783659129629
Editore: LAP LAMBERT Academic Publishing, 2012
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Advanced Forecasting Techniques with Application to NN5 Time Series | New Bayesian Formulation for Holt's Exponential Smoothing and Comparison of Forecasting Combination Techniques | Robert Andrawis | Taschenbuch | 132 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659129629 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106326191

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In this book we analyze the forecasting model that achieved the first rank in the Forecasting Competition for Artificial Neural Networks & Computational Intelligence NN5. The model is based on combination of machine learning and linear models. In addition, the approach and the experiments done to develop this model are explained in details to allow the reader to learn the methodology of developing such optimal models. The book also introduces a Bayesian forecasting approach for Holt's additive exponential smoothing method. Starting from the state space formulation, a formula for the forecast is derived and reduced to a two-dimensional integration that can be computed numerically in a straightforward way. In contrast with much of the work for exponential smoothing, this method produces the forecast density as well. The combinations of forecast are investigated as well in this book. A comparison between different combination methods is introduced with complete case study on tourism demand forecasting in Egypt.

L'autore: Robert R. Andrawis, Received his B.S. and Master degree in 2006 and 2010 respectively from the Department of Computer Engineering, Cairo University, Egypt. He also worked in Egyptian Ministry of Communication, Valeo, Vodafone Egypt and Intel Egypt. He participated and obtained the first rank in the NN5 Forecasting Competition for Neural Networks.

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Titolo: Advanced Forecasting Techniques with ...
Casa editrice: LAP LAMBERT Academic Publishing
Data di pubblicazione: 2012
Legatura: Taschenbuch
Condizione: Neu

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Taschenbuch. Condizione: Neu. Neuware -In this book we analyze the forecasting model that achieved the first rank in the Forecasting Competition for Artificial Neural Networks & Computational Intelligence NN5. The model is based on combination of machine learning and linear models. In addition, the approach and the experiments done to develop this model are explained in details to allow the reader to learn the methodology of developing such optimal models. The book also introduces a Bayesian forecasting approach for Holt's additive exponential smoothing method. Starting from the state space formulation, a formula for the forecast is derived and reduced to a two-dimensional integration that can be computed numerically in a straightforward way. In contrast with much of the work for exponential smoothing, this method produces the forecast density as well. The combinations of forecast are investigated as well in this book. A comparison between different combination methods is introduced with complete case study on tourism demand forecasting in Egypt.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Codice articolo 9783659129629

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we analyze the forecasting model that achieved the first rank in the Forecasting Competition for Artificial Neural Networks & Computational Intelligence NN5. The model is based on combination of machine learning and linear models. In addition, the approach and the experiments done to develop this model are explained in details to allow the reader to learn the methodology of developing such optimal models. The book also introduces a Bayesian forecasting approach for Holt's additive exponential smoothing method. Starting from the state space formulation, a formula for the forecast is derived and reduced to a two-dimensional integration that can be computed numerically in a straightforward way. In contrast with much of the work for exponential smoothing, this method produces the forecast density as well. The combinations of forecast are investigated as well in this book. A comparison between different combination methods is introduced with complete case study on tourism demand forecasting in Egypt. Codice articolo 9783659129629

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book we analyze the forecasting model that achieved the first rank in the Forecasting Competition for Artificial Neural Networks & Computational Intelligence NN5. The model is based on combination of machine learning and linear models. In addition, the approach and the experiments done to develop this model are explained in details to allow the reader to learn the methodology of developing such optimal models. The book also introduces a Bayesian forecasting approach for Holt's additive exponential smoothing method. Starting from the state space formulation, a formula for the forecast is derived and reduced to a two-dimensional integration that can be computed numerically in a straightforward way. In contrast with much of the work for exponential smoothing, this method produces the forecast density as well. The combinations of forecast are investigated as well in this book. A comparison between different combination methods is introduced with complete case study on tourism demand forecasting in Egypt. 132 pp. Englisch. Codice articolo 9783659129629

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Andrawis, Robert
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