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Multivariate Fitting and the Error Matrix in Global Analysis of Data
When a large body of data from diverse experiments is analyzed using a theoretical model with many parameters, the standard error matrix method and the general tools for evaluating the error may become inadequate. We present an iterative method that significantly improves the reliability, and hence...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2000
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1103/PhysRevD.65.014011 http://cds.cern.ch/record/453231 |