Accurately Forecasting Model for the Stochastic Volatility Data in Tourism Demand

"Accurately Forecasting Model for the Stochastic Volatility Data in Tourism Demand"
written by Ya-Ling Huang, Yen-Hsien Lee,
published by Modern Economy, Vol.2 No.5, 2011

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Nonadditive tourism forecast combination using grey relational analysis
	Grey Systems: Theory and Application, 2023

[2]	SIMULATION-BASED DECISION MODEL TO CONTROL DYNAMIC MANUFACTURING REQUIREMENTS: APPLICATION OF GREY FORECASTING-DQFD
	International Journal of Industrial Engineering …, 2023

[3]	Pengembangan Grey Forecasting Model GM (1, 1) dengan Optimasi Background Value dan Deret Fourier Untuk Memprediksi Kadar Emisi Gas Rumah Kaca (GRK) …
	2023

[4]	A mixed approach of open R&D ecosystem case study: Irans nanotechnology
	Journal of Decisions and …, 2022

[5]	TÜRKİYE'NİN TURİZM TALEBİNİN GRİ FOURIER MODEL İLE ANALİZİ
	Sivas Interdisipliner Turizm Araştırmaları Dergisi, 2022

[6]	A Projection Approach of Tourist Circulation under Conditions of Uncertainty. Sustainability 2022, 14, 1964
	2022

[7]	Chit, u, F. A Projection Approach of Tourist Circulation under Conditions of Uncertainty. Sustainability 2022, 14, 1964
	2022

[8]	Predicting Covid-19 virus mortality in the world by using grey system models
	Journal of decisions and …, 2022

[9]	Tourism combination forecasting using a dynamic weighting strategy with change-point analysis
	Current Issues in Tourism, 2022

[10]	A Projection Approach of Tourist Circulation under Conditions of Uncertainty
	Sustainability, 2022

[11]	Combination forecasting using multiple attribute decision making in tourism demand
	Tourism Review, 2022

[12]	Ordinary Least Squares based on Fourier Series Residuals for fitting the Modified Exponential Growth Model
	2021

[13]	An integrated forecasting model for the coffee bean supply chain
	2021

[14]	Tourism demand forecasting using nonadditive forecast combinations
	Journal of Hospitality & Tourism …, 2021

[15]	Forecasting the demand for tourism using combinations of forecasts by neural network-based interval grey prediction models
	Asia Pacific Journal of Tourism Research, 2021

[16]	Calculation and realization of new method grey residual error correction model
	PloS one, 2021

[17]	Investigating Model Solution Correctness for Parameter Uncertainty in Both Objective Function and Constraints
	Journal of Marine Science and …, 2021

[18]	A prediction model of road traffic fatalities in Hanoi using improved grey model GM (1, 1)
	2020

[19]	Research on GM-LSTM Hybrid Model for Tourism Prediction Based on One Belt and One Road
	2020

[20]	Studying on the Accuracy Improvement of GM (1, 1) Model
	2020

[21]	Developing grey prediction with Fourier series using genetic algorithms for tourism demand forecasting
	2020

[22]	Forecasting tourism demand using fractional grey prediction models with Fourier series
	2020

[23]	FORECASTING TOURISM DEMAND: A COMPARATIVE MODEL ANALYSIS FOCUSING ON SPANISH TOURIST'S TRAVEL TO CAPPADOCIA
	2020

[24]	Combining Deep Neural Network and Fourier Series for Tourist Arrivals Forecasting
	2020

[25]	FORECASTING TOURISM DEMAND: A CASE STUDY FOCUSING ON SPANISH TOURIST'S TRAVEL TO CAPPADOCIA
	2020

[26]	Using Fourier Series to Improve the Discrete Grey Model (1, 1)
	2020

[27]	A Genetic Algorithm-Based Grey Model Combined with Fourier Series for Forecasting Tourism Arrivals in Langkawi Island Malaysia
	2019

[28]	Toll Road Roughness Index Forecasting with Combination Grey Forecasting Model and Similarity Spatial Data
	2019

[29]	Using improved grey forecasting model to estimate the electricity consumption demand in Vietnam
	2019

[30]	Nonlinear grey bernoulli model based on fourier transformation and its application in forecasting the electricity consumption in vietnam
	Journal of Intelligent & Fuzzy Systems, 2019

[31]	Analyzing China's OFDI using a novel multivariate grey prediction model with Fourier series
	2019

[32]	Using Fourier Series to Improve the Prediction Accuracy of Nonlinear Grey Bernoulli Model
	2019

[33]	PENERAPAN METODE GREY SYSTEM PADA PERAMALAN PRODUK OLEFIN
	2018

[34]	Domestic Tourism Forecasting in Pahang: Comparison of Selected Techniques
	2018

[35]	Tourism Forecasting in Pahang: An Application of Homestay by using Box-Jenkins Approach
	2018

[36]	Domestic Tourism Forecasting in Pahang: Comparison of Selected Techniques.
	2018

[37]	Forecasting Taiwan Direct Investment in Mainland China Uing a Novel Grey Prediction Model Incorporating GM (1, N) with Residual Modification Model
	Journal of Management & Decision Sciences, 2018

[38]	Managing return flow of end-of-life products for product recovery operations
	2017

[39]	Predicting quantity of coffee consumption in China using grey prediction with Fourier series
	2017

[40]	Forecasting Model for Enrolment Combining Weighted Fuzzy Time Series and Fourier Series Transform
	Journal of Multidisciplinary Engineering Science Studies (JMESS), 2017

[41]	A comparative study on GM (1, 1) and FRMGM (1, 1) model in forecasting FBM KLCI
	AIP Conference Proceedings, 2017

[42]	氣候與登革熱對臺灣南部旅遊需求的影響
	臺灣中興大學學位論文, 2017

[43]	Grey modelling based forecasting system for return flow of end-of-life vehicles
	Technological Forecasting and Social Change, 2016

[44]	Foreign Language Communication Anxiety and Oral Communication Strategy Use of Indonesian Students in Taiwan
	2016

[45]	Enhanced Accuracy of Grey Forecasting Model Case by tourism industry in Vietnam
	Tạp chí Khoa học Đại học Huế, 2016

[46]	工程最佳化模式不確定性參數值分析-以專案排程模式為例
	2015

[47]	The Application of Ant-Grey Prediction Model in Sprint Performance Prediction and the Computer Simulation
	International Journal of Hybrid Information Technology, 2015

[48]	An Improved Grey Forecasting Models: Case in China's Coal Consumption Demand
	Computational Collective Intelligence, 2015

[49]	An Improved Nonlinear Grey Bernoulli Model Combined with Fourier Series
	Mathematical Problems in Engineering, 2015

[50]	Grey System Theory based prediction for topic trend on Internet
	Engineering Applications of Artificial Intelligence, 2014

[51]	An improvement the accuracy of grey forecasting model for cargo throughput in international commercial ports of Kaohsiung
	CN Wang, VT Phan - article.sciencepublishinggroup.com, 2014

[52]	İÇTEN YANMALI MOTORLARIN ARDIŞIK ÇEVRİMLERİNDE OLUŞAN MAKSİMUM BASINÇ VERİLERİNİN GRİ ÖNGÖRÜCÜLER KULLANILARAK TAHMİNİ
	Ordu University Journal of Science and Tecnology, 2014

[53]	Applying Grey Forecasting Model on the Milk Yield of Guangxi.
	Applied Mechanics & Materials, 2014

[54]	Enhancing the Accurate of Grey Prediction for GDP Growth Rate in Vietnam
	Computer, Consumer and Control (IS3C), 2014 International Symposium on. IEEE, 2014

[55]	Forecasting with Fourier Residual Modified ARIMA Model-An Empirical Case of Inbound Tourism Demand in New Zealand
	NULL 2014

[56]	Forecasting Inbound Tourism Demand in Thailand with Grey Model
	YF HUANG, TLAM NGUYEN, MH Shu - wseas.us, 2014

[57]	The Combination of Grey System Theory and Receiver Operating Characteristic Method for Setting the Standard of Tests
	statistics, 2014

[58]	SUBJECT: AGENDA FOR THE GRADUATE EDUCATION COMMITTEE MEETING
	NULL 2014

[59]	Forecasting Cargo Throughput with Modified Seasonal ARIMA Models
	MH SHU, TLAM NGUYEN, B HSU, C LU, JUIC HUANG - wseas.org, 2014

[60]	PREDICTION OF MAXIMUM PRESSURE DATA in CYLINDER of SPARK IGNITION ENGINES USING GREY PREDICTION METHOD
	A Kaleli, MA Ceviz, K Erentürk - otekon.org, 2014

[61]	پیش‎ بینی ماهانۀ تقاضای گردشگر برای مجموعۀ تاریخی تخت جمشید‎
	การติดต่อกองบรรณาธิการ วารสารมหาวิทยาลัยศรีนครินทรวิโรฒ (สาขาวิทยาศาสตร์และเทคโนโลยี), 2014

[62]	Monthly Forecasting of Tourism Demand for Persepolis Site
	Human Geography …, 2014

[63]	Forecasting international tourism demand-An empirical case in Taiwan
	Hung… - Asian Journal of …, 2013

[64]	Forecasting Models for the Cargo Throughput at Hong Kong Port and Kaohsiung Port
	MH SHU, YF HUANG, TLAM NGUYEN - wseas.us, 2013

[65]	Forecasting energy intensity with fourier residual modified grey model: an empirical study in taiwan
	NULL 2013

[66]	A Statistical Study to the Impact of Advertisement on the Youth of the Capital of Azad Kashmir
	Asian Journal of Empirical Research, 2013

[67]	Eliminating the Shortage Factor: Modeling the Behavior of Future Donations using Forecasting Techniques to Improve the Distribution Efficacy of a Food Bank
	ProQuest Dissertations Publishing, 2013

[68]	Accurate forecasting models in predicting the inbound tourism demand in Vietnam
	Journal of Statistics and Management Systems, 2013

[69]	THE EFFECT OF RICE PRICE-PLEDGING SCHEME ON PRICETRANSMISSION OF RICE MARKETS IN THAILAND
	Asian Journal of Empirical Research, 2012

[70]	Forecasting model for the solar photovoltaics consumption in United States of America
	2012

[71]	BUJİ ATEŞLEMELİ MOTORLARDA SİLİNDİR İÇİNDE OLUŞAN MAKSİMUM BASINÇ VERİLERİNİN GRİ ÖNGÖRÜCÜLER KULLANILARAK TAHMİNİ
	A Kaleli, MA Ceviz

[1]	Step towards a general bankruptcy prediction model for listed non-financial firms: The use of accounting, market, and macroeconomic variables Studia Historiae Oeconomicae, 2025 DOI:10.14746/sho.2025.43.1.009

[2]	Forecast combination with multivariate grey prediction for tourism demand forecasting Intelligent Data Analysis, 2024 DOI:10.3233/IDA-230565

[3]	Advances in Intelligent Computing Techniques and Applications Lecture Notes on Data Engineering and Communications Technologies, 2024 DOI:10.1007/978-3-031-59711-4_12

[4]	The 13th Conference on Information Technology and Its Applications Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-3-031-74127-2_37

[5]	Tourism Demand Forecasting Using Nonadditive Forecast Combinations Journal of Hospitality & Tourism Research, 2023 DOI:10.1177/10963480211047857

[6]	Optimization of GMr (1,1) Model and Its Application in Forecast the Number of Tourist Visits to Quang Ninh Province WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS, 2023 DOI:10.37394/23207.2023.20.235

[7]	A Projection Approach of Tourist Circulation under Conditions of Uncertainty Sustainability, 2022 DOI:10.3390/su14041964

[8]	Combination forecasting using multiple attribute decision making in tourism demand Tourism Review, 2022 DOI:10.1108/TR-09-2021-0451

[9]	Tourism combination forecasting using a dynamic weighting strategy with change-point analysis Current Issues in Tourism, 2022 DOI:10.1080/13683500.2022.2120797

[10]	Nonadditive tourism forecast combination using grey relational analysis Grey Systems: Theory and Application, 2022 DOI:10.1108/GS-07-2022-0079

[11]	Ordinary Least Squares based on Fourier Series Residuals for fitting the Modified Exponential Growth Model Journal of Physics: Conference Series, 2021 DOI:10.1088/1742-6596/1897/1/012001

[12]	An integrated forecasting model for the coffee bean supply chain Applied Economics, 2021 DOI:10.1080/00036846.2021.1887447

[13]	Calculation and realization of new method grey residual error correction model PLOS ONE, 2021 DOI:10.1371/journal.pone.0254154

[14]	Forecasting the demand for tourism using combinations of forecasts by neural network-based interval grey prediction models Asia Pacific Journal of Tourism Research, 2021 DOI:10.1080/10941665.2021.1983623

[15]	Emerging Trends in Intelligent Computing and Informatics Advances in Intelligent Systems and Computing, 2020 DOI:10.1007/978-3-030-33582-3_14

[16]	Forecasting tourism demand using fractional grey prediction models with Fourier series Annals of Operations Research, 2020 DOI:10.1007/s10479-020-03670-0

[17]	Developing grey prediction with Fourier series using genetic algorithms for tourism demand forecasting Quality & Quantity, 2020 DOI:10.1007/s11135-020-01006-5

[18]	Advances in Computational Collective Intelligence Communications in Computer and Information Science, 2020 DOI:10.1007/978-3-030-63119-2_10

[19]	Advances in Computational Collective Intelligence Communications in Computer and Information Science, 2020 DOI:10.1007/978-3-030-63119-2_9

[20]	Combining Deep Neural Network and Fourier Series for Tourist Arrivals Forecasting IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/864/1/012094

[21]	Intelligent Information and Database Systems Lecture Notes in Computer Science, 2019 DOI:10.1007/978-3-030-14799-0_31

[22]	Analyzing China’s OFDI using a novel multivariate grey prediction model with Fourier series International Journal of Intelligent Computing and Cybernetics, 2019 DOI:10.1108/IJICC-07-2018-0095

[23]	Nonlinear grey bernoulli model based on fourier transformation and its application in forecasting the electricity consumption in vietnam Journal of Intelligent & Fuzzy Systems, 2019 DOI:10.3233/JIFS-179368

[24]	Toll Road Roughness Index Forecasting with Combination Grey Forecasting Model and Similarity Spatial Data IOP Conference Series: Materials Science and Engineering, 2019 DOI:10.1088/1757-899X/662/2/022065

[25]	Grey modelling based forecasting system for return flow of end-of-life vehicles Technological Forecasting and Social Change, 2017 DOI:10.1016/j.techfore.2016.09.030

[26]	A comparative study on GM (1,1) and FRMGM (1,1) model in forecasting FBM KLCI 2017 DOI:10.1063/1.5012257

[27]	Computational Collective Intelligence Lecture Notes in Computer Science, 2015 DOI:10.1007/978-3-319-24306-1_53

[28]	An Improved Nonlinear Grey Bernoulli Model Combined with Fourier Series Mathematical Problems in Engineering, 2015 DOI:10.1155/2015/740272

[29]	Applying Grey Forecasting Model on the Milk Yield of Guangxi Applied Mechanics and Materials, 2014 DOI:10.4028/www.scientific.net/AMM.556-562.4461

[30]	Grey System Theory based prediction for topic trend on Internet Engineering Applications of Artificial Intelligence, 2014 DOI:10.1016/j.engappai.2013.12.005

[31]	Enhancing the Accurate of Grey Prediction for GDP Growth Rate in Vietnam 2014 International Symposium on Computer, Consumer and Control, 2014 DOI:10.1109/IS3C.2014.295

[32]	Accurate forecasting models in predicting the inbound tourism demand in Vietnam Journal of Statistics and Management Systems, 2013 DOI:10.1080/09720510.2013.777570

[33]	Forecasting model for the solar photovoltaics consumption in United States of America 2012 10th International Power & Energy Conference (IPEC), 2012 DOI:10.1109/ASSCC.2012.6523279

	[email protected]
	+86 18163351462 (WhatsApp)
	1655362766
	SCIRP WeChat

	[email protected]
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Modern Economy

Modern Economy

Journals Menu

Guidelines & Policies

Home

About SCIRP

Service

Policies