Showing 71 - 80 of 680,256
backpropagation neural networks in forecasting tourism demand influenced by different factors. A numerical example from an existing … outperforms other approaches for forecasting tourism demand …
Persistent link: https://www.econbiz.de/10014060169
economics and financial markets, the effects of combining multiple news shocks on the volatility of tourism demand have not yet … GJRGARCH-FFNSs model is the best model for Malaysian tourism demand volatility forecasting accuracy. Furthermore, KLCI and Gold … asymmetry impacts on tourism demand volatility. …
Persistent link: https://www.econbiz.de/10013369139
Persistent link: https://www.econbiz.de/10014316407
Persistent link: https://www.econbiz.de/10014365142
Persistent link: https://www.econbiz.de/10014423402
Persistent link: https://www.econbiz.de/10014384549
Persistent link: https://www.econbiz.de/10014304427
Persistent link: https://www.econbiz.de/10013552602
Persistent link: https://www.econbiz.de/10013162671
Persistent link: https://www.econbiz.de/10012513369