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A comparison of three different approaches to tourist arrival forecasting · Study

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ArticleA comparison of three different approaches to tourist arrival forecasting

Vincent Cho2003

Article2003

A comparison of three different approaches to tourist arrival forecasting

322 citations·0/0 files stored·Tourism Management

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Forecasting Techniques and Applications Diverse Aspects of Tourism Research Stock Market Forecasting Methods

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 322 citations exist upstream.

References

1977Time Series Analysis: Forecasting and Control 1978Time Series Analysis: Forecasting and Control.2009Time series analysis forecasting and control 2008Introduction to time series analysis and forecasting 1954Linear Expenditure Systems and Demand Analysis: An Application to the Pattern of British Demand 1983Forecasting with Univariate Box‐Jenkins Models

Cited by

2009Analysis of international tourist arrivals in China: The role of World Heritage Sites 2014Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm 2005Designing an artificial neural network for forecasting tourism time series 2013Forecasting tourism demand to Catalonia: Neural networks vs. time series models 2010SVR with hybrid chaotic genetic algorithms for tourism demand forecasting 2014A meta-analysis of international tourism demand forecasting and implications for practice 2020Forecasting tourism demand with multisource big data 2011Forecasting tourism demand based on empirical mode decomposition and neural network

Details

Year2003

Typearticle

Published2003-04-04

VenueTourism Management

ISSN-L0261-5177

Languageen

Citations322

Files0 public / 0

ShelfForecasting Techniques and Applications

Identifiers

doi10.1016/s0261-5177(02)00068-7

openalex_workW2015122449

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