Physics – High Energy Physics – High Energy Physics - Phenomenology
Scientific paper
2000-08-17
Phys.Rev.D65:014011,2001
Physics
High Energy Physics
High Energy Physics - Phenomenology
13 pages, 5 figures, Latex; minor clarifications, fortran program made available; Normalization of Hessian matrix changed to H
Scientific paper
10.1103/PhysRevD.65.014011
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 and avoids the linear approximations assumed in conventional error propagation calculations. These methods are illustrated by an example from the global analysis of parton distribution functions.
Pumplin Jon
Stump Daniel R.
Tung W.-K.
No associations
LandOfFree
Multivariate Fitting and the Error Matrix in Global Analysis of Data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Multivariate Fitting and the Error Matrix in Global Analysis of Data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multivariate Fitting and the Error Matrix in Global Analysis of Data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-555465