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Tourism forecasting using SARIMA models in Chilean regions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0304-4076(90)90080-dopenalex-snapshot
Seasonal integration and cointegration
inferredcites →https://doi.org/10.1016/j.matcom.2008.09.006openalex-snapshot
Modelling and forecasting tourism from East Asia to Thailand under temporal and spatial aggregation
inferredcites →https://doi.org/10.1016/j.tourman.2007.04.003openalex-snapshot
A fractionally integrated autoregressive moving average approach to forecasting tourism demand
inferredcites →https://doi.org/10.1016/j.tourman.2007.07.016openalex-snapshot
Tourism demand modelling and forecasting—A review of recent research
inferredcites →https://doi.org/10.1016/j.tourman.2008.02.020openalex-snapshot
Analyzing and forecasting tourism demand with ARAR algorithm
inferredcites →https://doi.org/10.1016/j.tourman.2008.10.010openalex-snapshot
Combining volatility and smoothing forecasts of UK demand for international tourism
inferredcites →https://doi.org/10.1016/j.tourman.2008.10.016openalex-snapshot
Forecasting tourism demand with ARMA-based methods
inferredcites →https://doi.org/10.1057/palgrave.thr.6040043openalex-snapshot
Data Disaggregation in Demand Forecasting
inferredcites →https://doi.org/10.1109/tac.1974.1100705openalex-snapshot
A new look at the statistical model identification
inferredcites →https://doi.org/10.1177/0047287505276594openalex-snapshot
Recent Developments in Econometric Modeling and Forecasting
inferredcites →https://doi.org/10.1177/0047287506291600openalex-snapshot
Regional Data Forecasting Accuracy: The Case of Thailand
inferredcites →https://doi.org/10.1177/1096348008321366openalex-snapshot
An Empirical Study of Forecast Combination in Tourism
inferredcites →https://doi.org/10.2307/1912773openalex-snapshot
Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
inferredcites →https://doi.org/10.2307/3150485openalex-snapshot
Time Series Analysis: Forecasting and Control
inferredcites →https://doi.org/10.5367/000000009788254278openalex-snapshot
Research Note: Forecasting Tourism Demand by Disaggregated Time Series – Empirical Evidence from Spain
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4658702openalex-extracted
Can Big Data from Airbnb improve the forecasting of tourism inflow?
inferred← citeshttps://doi.org/10.1007/s12665-022-10296-xopenalex-snapshot
Prediction of groundwater level variations based on gravity recovery and climate experiment (GRACE) satellite data and a time-series analysis: a case study in the Lake Urmia basin, Iran
inferred← citeshttps://doi.org/10.1007/s41685-024-00344-8openalex-snapshot
Forecasting of Indian and foreign tourist arrivals to Himachal Pradesh using Decomposition, Box–Jenkins, and Holt–Winters exponential smoothing methods
inferred← citeshttps://doi.org/10.1016/j.tourman.2014.07.014openalex-snapshot
Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach
inferred← citeshttps://doi.org/10.1063/5.0042130openalex-snapshot
A comparison forecasting methods for trend and seasonal Indonesia tourist arrivals time series
inferred← citeshttps://doi.org/10.1080/19407963.2011.636923openalex-snapshot
The impact of earthquakes on Chile's international tourism demand
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0121107openalex-snapshot
Machine Learning based Forecasting Systems for Worldwide International Tourists Arrival
inferred← citeshttps://doi.org/10.17722/jorm.v1i1.34openalex-snapshot
Monthly Nigerian Interbank Call Rates Modeling by Seasonal Box-Jenkins Approach
inferred← citeshttps://doi.org/10.24018/ejmath.2021.2.6.80openalex-snapshot
Forecasting Commodity Price Index of Food and Beverages in Kenya Using Seasonal Autoregressive Integrated Moving Average (SARIMA) Models
inferred← citeshttps://doi.org/10.3390/e23030325openalex-snapshot
Comparative Analysis of Different Univariate Forecasting Methods in Modelling and Predicting the Romanian Unemployment Rate for the Period 2021–2022
inferred← citeshttps://doi.org/10.36276/mws.v19i1.64openalex-snapshot
Prediksi Jumlah Kunjungan Wisatawan Mancanegara ke Indonesia
inferred← citeshttps://doi.org/10.4108/eai.2-8-2019.2290473openalex-snapshot
Hybrid Model of Seasonal ARIMA-ANN to Forecast Tourist Arrivals through Minangkabau International Airport
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