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Condition: As New. Unread book in perfect condition.
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Econometric Modelling and Forecasting of Tourism Demand
Language: English
Published by H N H International Limited, 2022
ISBN 10: 1032216417 ISBN 13: 9781032216416
Condition: New.
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Econometric Modelling and Forecasting of Tourism Demand : Methods and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Econometric Modelling and Forecasting of Tourism Demand
Language: English
Published by H N H International Limited, 2022
ISBN 10: 1032216417 ISBN 13: 9781032216416
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications
Language: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032216417 ISBN 13: 9781032216416
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Econometric Modelling and Forecasting of Tourism Demand : Methods and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Econometric Modelling and Forecasting of Tourism Demand
Language: English
Published by H N H International Limited, 2022
ISBN 10: 1032216417 ISBN 13: 9781032216416
Condition: New.
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Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications
Language: English
Published by Routledge 2022-10-27, 2022
ISBN 10: 1032216417 ISBN 13: 9781032216416
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Paperback. Condition: Brand New. 320 pages. 9.00x6.00x0.71 inches. In Stock.
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Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications
Language: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032216417 ISBN 13: 9781032216416
Condition: New. 2022. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Taschenbuch. Condition: Neu. Econometric Modelling and Forecasting of Tourism Demand | Methods and Applications | Doris Chenguang Wu (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Routledge | EAN 9781032216416 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications
Language: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032216417 ISBN 13: 9781032216416
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
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Econometric Modelling and Forecasting of Tourism Demand : Methods and Applications
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Econometric Modelling and Forecasting of Tourism Demand : Methods and Applications
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Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications
Language: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032216425 ISBN 13: 9781032216423
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New.
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Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Hardcover. Condition: Brand New. 320 pages. 9.00x6.00x0.91 inches. In Stock.
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Econometric Modelling and Forecasting of Tourism Demand
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Econometric Modelling and Forecasting of Tourism Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This insightful and timely volume provides a succinct, expert-led introduction to the latest developments in advanced econometric methodologies in the context of tourism demand modelling and forecasting.Written by a plethora of worldwide experts on this topic, this book offers a comprehensive approach to tourism econometrics. Accurate demand forecasts are crucial to decision-making in the tourism industry and this book provides real-life tourism applications and the corresponding R code alongside theoretical foundations, in order to enhance understanding and practice amongst its readers. The methodologies introduced include general to specific modelling, cointegration, vector autoregression, time-varying parameter modelling, spatiotemporal econometric models, mixed-frequency forecasting, hybrid forecasting models, forecasting combination techniques, density forecasting, judgemental forecasting, scenario forecasting under crisis, and web-based tourism forecasting.Embellished with insightful figures and tables throughout, this book is an invaluable resource for those using advanced econometric methodologies in their studies and research, including both undergraduate and postgraduate students, researchers, and practitioners. 328 pp. Englisch.
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Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications
Language: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032216417 ISBN 13: 9781032216416
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 47.88
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Doris Chenguang Wu, Ph.D., is a Professor in the School of Business at Sun Yat-sen University, China. Her research interests include tourism demand forecasting and tourism big data analytics. Gang Li, Ph.D., is a Professor of Tour.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This insightful and timely volume provides a succinct, expert-led introduction to the latest developments in advanced econometric methodologies in the context of tourism demand modelling and forecasting.Written by a plethora of worldwide experts on this topic, this book offers a comprehensive approach to tourism econometrics. Accurate demand forecasts are crucial to decision-making in the tourism industry and this book provides real-life tourism applications and the corresponding R code alongside theoretical foundations, in order to enhance understanding and practice amongst its readers. The methodologies introduced include general to specific modelling, cointegration, vector autoregression, time-varying parameter modelling, spatiotemporal econometric models, mixed-frequency forecasting, hybrid forecasting models, forecasting combination techniques, density forecasting, judgemental forecasting, scenario forecasting under crisis, and web-based tourism forecasting.Embellished with insightful figures and tables throughout, this book is an invaluable resource for those using advanced econometric methodologies in their studies and research, including both undergraduate and postgraduate students, researchers, and practitioners.
