A comparison of fuzzy time series with statistical analyses in forecasting Malaysian goverment tax revenue
In recent years, many reseachers have used fuzzy time series to handle forecasting various domain problem and it has been shown to forecast better than other models such as the predictons of stock prices, academic enrollments, weather, road accidenasualties, etc.
Main Author: | |
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Published: |
Terengganu:
Universiti Malaysia Terengganu,
2009.
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KOLEKSI KHAS
Call Number: |
LP 14 FST 2 2009 |
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Accession | Item Category | Format | Status | Notes |
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1100076407 | LAPORAN PROJEK | Book | AVAILABLE |