BAYESIAN CLASSIFICATION WITH SEASONAL AUTOREGRESSIVE SOURCES
Mohamed Youssef Sabry;
Abstract
In this research, four Bayesian Classification techniques are developed, using normal gamma and Jett?eys' rule, to classify a univanale time series into one ol' scvcral seasonal autoregressive sources. The four techniques deal with different four cascs af the sources' ciders- T lie pteposed lcch11iqLlcs that Lbc cocfCwic11ts and precision are unknown. Thc idea o? tour Lechniques is to classify a time series
Other data
| Title | BAYESIAN CLASSIFICATION WITH SEASONAL AUTOREGRESSIVE SOURCES | Other Titles | التصنيف البيزى لنماذج الانحدار الذاتى الموسمى | Authors | Mohamed Youssef Sabry | Issue Date | 2002 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| B17437.pdf | 884.37 kB | Adobe PDF | View/Open |
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