Classification Methods for the Serological Status Based on Mixtures of Skew-Normal and Skew-t Distributions
Gaussian mixture models are widely employed in serological data analysis to discern between seropositive and seronegative individuals. However, serological populations often exhibit significant skewness, making symmetric distributions like Normal or Student-t distributions unreliable. In this study,...
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| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2024-01-01
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| Saila: | Mathematics |
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| Sarrera elektronikoa: | https://www.mdpi.com/2227-7390/12/2/217 |
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