The Study of Forecasting Models for the Visitor Arrivals Demand in Taiwan

碩士 === 朝陽科技大學 === 休閒事業管理系碩士班 === 94 === In this study, five methods such as single exponential smoothing、H-W exponential smoothing、Fourier series analysis、ARIMA model and Artificial Neural Network were used to establish the Forecasting Models for the Visitor Arrivals in Taiwan. By using the MAPE、RMS...

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Bibliographic Details
Main Authors: Hong-Bin Chen, 陳鴻彬
Other Authors: Tzong-Shyuang Chen
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/372g8j