Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: Revaluation Books, Exeter, Regno Unito
EUR 70,82
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Aggiungi al carrelloPaperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Introducing a new hybrid modelling for forecasting | Mohsen Tavan | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659552403 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this book is to introduce a new hybrid modelling to predict carbon dioxide emissions in order to make the correct decision to reduce air pollution in Iran. While there are not many data available for some variables, in this modeling, the goal is to make accurate predictions even with low data. In the present book, CO2 emissions in Iran in the period of 1980-2014 was predicted using three models of Auto-Regressive Distributed Lag (ARDL), Fuzzy Linear Regression (FLR) and hybrid model based on a combination of ARDL and FLR models, and then the prediction accuracy of the models is compared. 52 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: Majestic Books, Hounslow, Regno Unito
EUR 62,46
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 63,73
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: moluna, Greven, Germania
EUR 34,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tavan MohsenThe author of this book has a Bachelor in Business Economics from Lorestan University and an MA in Energy Economics from the Persian Gulf university and more than 10 ISC International Papers.The purpose of this book i.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 39,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The purpose of this book is to introduce a new hybrid modelling to predict carbon dioxide emissions in order to make the correct decision to reduce air pollution in Iran. While there are not many data available for some variables, in this modeling, the goal is to make accurate predictions even with low data. In the present book, CO2 emissions in Iran in the period of 1980-2014 was predicted using three models of Auto-Regressive Distributed Lag (ARDL), Fuzzy Linear Regression (FLR) and hybrid model based on a combination of ARDL and FLR models, and then the prediction accuracy of the models is compared.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659552402 ISBN 13: 9783659552403
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 39,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of this book is to introduce a new hybrid modelling to predict carbon dioxide emissions in order to make the correct decision to reduce air pollution in Iran. While there are not many data available for some variables, in this modeling, the goal is to make accurate predictions even with low data. In the present book, CO2 emissions in Iran in the period of 1980-2014 was predicted using three models of Auto-Regressive Distributed Lag (ARDL), Fuzzy Linear Regression (FLR) and hybrid model based on a combination of ARDL and FLR models, and then the prediction accuracy of the models is compared.