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|a 536254707
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|a 9780080519418
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|a UAMI
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|a Song, Haiyan.
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|a Tourism Demand Modelling and Forecasting :
|b Modern Econometric Approaches.
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260 |
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|a Burlington :
|b Elsevier,
|c 2000.
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|a 1 online resource (189 pages)
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|a text
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|a ATR/Advances in Tourism Research
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|a Front Cover; Tourism Demand Modelling and Forecasting: Modern Econometric Approaches; Copyright Page; Contents; Preface; Chapter 1 Introduction to Tourism Demand Analysis; Chapter 2 Traditional Methodology of Tourism Demand Modelling; Chapter 3 General-to-Specific Modelling; Chapter 4 Cointegration; Chapter 5 Error Correction Model; Chapter 6 Vector Autoregression (VAR) and Cointegration; Chapter 7 Time Varying Parameter Modelling; Chapter 8 Panel Data Analysis; Chapter 9 Evaluation of Forecasting Performance; References; Author index; Subject index.
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|a The phenomenal growth of both the world-wide tourism industry and academic interest in tourism over the last thirty years has generated great interest in tourism demand modelling and forecasting from both sectors. However, the tendency for researchers and practitioners engaged in quantitative causal tourism modelling and forecasting to run many regression equations and try to choose the 'best' model based on various parametric and non-parametric criteria has been widely criticised as failing to provide credible results. The aim of this book is to present the recent advances in econometric mode.
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588 |
0 |
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|a Print version record.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Tourism
|x Econometric models.
|
650 |
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0 |
|a Tourism
|x Forecasting.
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650 |
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7 |
|a Tourism
|x Econometric models
|2 fast
|
650 |
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7 |
|a Tourism
|x Forecasting
|2 fast
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700 |
1 |
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|a Witt, Stephen F.
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758 |
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|i has work:
|a Tourism demand modelling and forecasting (Text)
|1 https://id.oclc.org/worldcat/entity/E39PD3yjDjg779BHQPtg8th4dP
|4 https://id.oclc.org/worldcat/ontology/hasWork
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