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ArticleThe combination of interval forecasts in tourism

Gang Li2019

Article2019

The combination of interval forecasts in tourism

Gang Li · Doris Chenguang Wu · Menglin Zhou · Anyu Liu

91 citations·0/0 files stored·Annals of Tourism Research

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Forecasting Techniques and Applications Diverse Aspects of Tourism Research Grey System Theory Applications

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 91 citations exist upstream.

References

1987Co-Integration and Error Correction: Representation, Estimation, and Testing 1990Forecasting, Structural Time Series Models and the Kalman Filter 1989Combining forecasts: A review and annotated bibliography 1990Combining forecasts: A review and annotated bibliography 2007Tourism demand modelling and forecasting—A review of recent research 2006Chapter 4 Forecast Combinations 1993Detrending, stylized facts and the business cycle 2002A state space framework for automatic forecasting using exponential smoothing methods

Cited by

2019Tourism productivity and economic growth 2024Tourism and Hospitality Forecasting With Big Data: A Systematic Review of the Literature 2020Hierarchical pattern recognition for tourism demand forecasting 2020Group pooling for deep tourism demand forecasting 2021Forecasting hotel demand for revenue management using machine learning regression methods 2020Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory 2021Are customer reviews just reviews? Hotel forecasting using sentiment analysis 2023Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach

Details

Year2019

Typearticle

Published2019-03-01

VenueAnnals of Tourism Research

ISSN-L0160-7383

Languageen

Citations91

Files0 public / 0

ShelfForecasting Techniques and Applications

Identifiers

doi10.1016/j.annals.2019.01.010

openalex_workW2911894136

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