Bayesian Classification with First Order Moving Average Sources
The main objective of this paper is to develop a convenient Bayesian procedure that can be used to assign a univariate time series realization to one of several first order moving average sources, with unknown coefficients, that share a common unknown precision. The foundation of the proposed proced...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR)
1992-12-01
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| Serie: | The Egyptian Statistical Journal |
| Soggetti: | |
| Accesso online: | https://esju.journals.ekb.eg/article_314869_adcbdc31141dbeacb8576b82eaf62540.pdf |
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