The importance of finding a well fitted model for hydro-meteorological time series cannot be denied, the main gain of a successful approach being the possibility to explain the past and to provide informed insight for the future. Therefore, we tried to present here some techniques that can be used to build a mathematical model for time series (particularly for hydro-meteorological ones), starting from statistical tests of data analysis, passing to the empirical models, nonparametric techniques, ARIMA models and heuristic methods. Since our intention was to write a book easy to read, the theory is shortly presented and is followed by applications on real data that are the results our three years research work. We hope that this material will be useful for postgraduate students, as well as for the researchers.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The importance of finding a well fitted model for hydro-meteorological time series cannot be denied, the main gain of a successful approach being the possibility to explain the past and to provide informed insight for the future. Therefore, we tried to present here some techniques that can be used to build a mathematical model for time series (particularly for hydro-meteorological ones), starting from statistical tests of data analysis, passing to the empirical models, nonparametric techniques, ARIMA models and heuristic methods. Since our intention was to write a book easy to read, the theory is shortly presented and is followed by applications on real data that are the results our three years research work. We hope that this material will be useful for postgraduate students, as well as for the researchers.
Alina B?RBULESCU - BSc in Mathematics and Law, MSc in Operators Theory, PhD in Mathematics and Statistical Economics. Research stages: Austria, Italy, Germany, Greece. Associate editor: IIJMC, IJAMS. Publications: 90 articles, 18 books. Reviewer: Geophys Res Letters, Journal of Hydrology, Water SA, Chem Eng Commun, J of Appl Polymers Sci,IJMMS.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The importance of finding a well fitted model for hydro-meteorological time series cannot be denied, the main gain of a successful approach being the possibility to explain the past and to provide informed insight for the future. Therefore, we tried to present here some techniques that can be used to build a mathematical model for time series (particularly for hydro-meteorological ones), starting from statistical tests of data analysis, passing to the empirical models, nonparametric techniques, ARIMA models and heuristic methods. Since our intention was to write a book easy to read, the theory is shortly presented and is followed by applications on real data that are the results our three years research work. We hope that this material will be useful for postgraduate students, as well as for the researchers. 136 pp. Englisch. N° de réf. du vendeur 9783843365789
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Barbulescu AlinaAlina BARBULESCU - BSc in Mathematics and Law, MSc in Operators Theory, PhD in Mathematics and Statistical Economics. Research stages: Austria, Italy, Germany, Greece. Associate editor: IIJMC, IJAMS. Publications: 90 . N° de réf. du vendeur 5466525
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The importance of finding a well fitted model for hydro-meteorological time series cannot be denied, the main gain of a successful approach being the possibility to explain the past and to provide informed insight for the future. Therefore, we tried to present here some techniques that can be used to build a mathematical model for time series (particularly for hydro-meteorological ones), starting from statistical tests of data analysis, passing to the empirical models, nonparametric techniques, ARIMA models and heuristic methods. Since our intention was to write a book easy to read, the theory is shortly presented and is followed by applications on real data that are the results our three years research work. We hope that this material will be useful for postgraduate students, as well as for the researchers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. N° de réf. du vendeur 9783843365789
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The importance of finding a well fitted model for hydro-meteorological time series cannot be denied, the main gain of a successful approach being the possibility to explain the past and to provide informed insight for the future. Therefore, we tried to present here some techniques that can be used to build a mathematical model for time series (particularly for hydro-meteorological ones), starting from statistical tests of data analysis, passing to the empirical models, nonparametric techniques, ARIMA models and heuristic methods. Since our intention was to write a book easy to read, the theory is shortly presented and is followed by applications on real data that are the results our three years research work. We hope that this material will be useful for postgraduate students, as well as for the researchers. N° de réf. du vendeur 9783843365789
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Taschenbuch. Etat : Neu. Modeling the hydro-meteorological time series | Applications to Dobrudja region | Alina Barbulescu (u. a.) | Taschenbuch | 136 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783843365789 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107235599
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