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  • Search: subject:"basic structural model"
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Year of publication
Subject
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SARIMA 2 STAR 2 basic structural model (BSM) 2 Autoregressive distributitive lags models 1 Basic structural model 1 Demand 1 Demande touristique induite 1 Fonction de transfert 1 Forecasting model 1 Kalman filter 1 Modèle structurel de base 1 Nachfrage 1 Nichtlineare Regression 1 Nonlinear regression 1 Prognoseverfahren 1 Saisonnalité 1 Seasonal adjustment 1 Seasonality 1 Spectrum analysis 1 Spécification autorégressive à retards échelonnés 1 Supply induced demand 1 Theorie 1 Theory 1 Time series analysis 1 Tourism 1 Tourismus 1 Transfer function model 1 Zeitreihenanalyse 1 basic structural model 1 elasticity 1 forecasting 1 multivariate time series 1 spectrum analysis 1 state space model 1 tourism demand 1 tourism forecasting 1 élasticités 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1 Other 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1 French 1
Author
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Saayman, Andrea 2 Birrell, C. 1 Botha, Ilse 1 Botha, Ilsé 1 Lin, Y. X. 1 OUERFELLI, Chokri 1 Steel, D. G. 1
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Institution
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Economic Research Southern Africa (ERSA) 1 Laboratoire d'Économie de Dijon (LEDI), Université de Bourgogne 1
Published in...
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LATEC - Document de travail - Economie (1991-2003) 1 Tourism economics : the business and finance of tourism and recreation 1 Working Papers / Economic Research Southern Africa (ERSA) 1
Source
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RePEc 2 BASE 1 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Evaluating Non-Linear Approaches in Forecasting Tourist Arrivals
Saayman, Andrea; Botha, Ilse - Economic Research Southern Africa (ERSA) - 2015
Quantitative methods to forecasting tourist arrivals can be sub-divided into causal methods and non-causal methods. Non-causal time series methods remain popular tourism forecasting tools due to the accuracy of their forecasting ability and general ease of use. Since tourist arrivals exhibit...
Persistent link: https://www.econbiz.de/10011165824
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Non-linear models for tourism demand forecasting
Saayman, Andrea; Botha, Ilsé - In: Tourism economics : the business and finance of tourism … 23 (2017) 3, pp. 594-613
Persistent link: https://www.econbiz.de/10011702507
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Seasonal Adjustment of an Aggregate Series using Univariate and Multivariate Basic Structural Models
Birrell, C.; Steel, D. G.; Lin, Y. X. - 2010
. Firstly, the univariate basic structural model (BSM) is applied directly to the aggregate series. Secondly, the multivariate …
Persistent link: https://www.econbiz.de/10009457605
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La demande touristique européenne en Tunisie
OUERFELLI, Chokri - Laboratoire d'Économie de Dijon (LEDI), Université de … - 1998
time series variability, were proposed. We have suggest the Basic Structural Model and Harvey (1990)'s estimation and …
Persistent link: https://www.econbiz.de/10005595841
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