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Neural Systems with Numerically Matched Input-Output Statistic: Isotonic Bivariate Statistical Modeling
Bivariate statistical modeling from incomplete data is a useful statistical tool that allows to discover the model underlying two data sets when the data in the two sets do not correspond in size nor in ordering. Such situation may occur when the sizes of the two data sets do not match (i.e., there...
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| Formato: | Texto |
| Lenguaje: | English |
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Hindawi Publishing Corporation
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275048/ https://www.ncbi.nlm.nih.gov/pubmed/18566641 http://dx.doi.org/10.1155/2007/71859 |