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,...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
1992
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Online Access: | http://ndltd.ncl.edu.tw/handle/45027944180024261207 |