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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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Detaylı Bibliyografya
Asıl Yazarlar: Ahmed Haroun, Samir Shaarawy
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR) 1992-12-01
Seri Bilgileri:The Egyptian Statistical Journal
Konular:
Online Erişim:https://esju.journals.ekb.eg/article_314869_adcbdc31141dbeacb8576b82eaf62540.pdf
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