Forecasting for nonstationary time series a neural networks approach

碩士 === 國立政治大學 === 統計研究所 === 80 === CONVENTIONAL TIME SERIES ANALYSIS DEPENDS HEAVILY ON THE TWIN SUMPTIONS OF LINEARITY AND STATIONARITY. HOWEVER, THERE ARE CERTAIN CASES WHERE SAMPLED DATA TEND TO VIOLATE THE ASSUMPTIONS. IN THIS PAPER,...

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Bibliographic Details
Main Authors: YU, JIAN, 于健
Other Authors: WU, BO-LIN
Format: Others
Language:zh-TW
Published: 1992
Online Access:http://ndltd.ncl.edu.tw/handle/45027944180024261207