Multivariate Fitting and the Error Matrix in Global Analysis of Data

@article{Pumplin2001MultivariateFA,
  title={Multivariate Fitting and the Error Matrix in Global Analysis of Data},
  author={J. Pumplin and D. Stump and W. Tung},
  journal={Physical Review D},
  year={2001},
  volume={65},
  pages={014011}
}
  • J. Pumplin, D. Stump, W. Tung
  • Published 2001
  • Physics
  • Physical Review D
  • 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 errors may become inadequate. We present an iterative method that significantly improves the reliability of the error matrix calculation. To obtain even better estimates of the uncertainties on predictions of physical observables, we also present a Lagrange multiplier method that explores the entire parameter space… CONTINUE READING

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