Sample size effects in multivariate fitting of correlated data

Physics – High Energy Physics – High Energy Physics - Lattice

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Added calculation of parameter variance for bootstrap with remade covariance matrices

Scientific paper

A common problem in analysis of experiments or in lattice QCD simulations is fitting a parameterized model to the average over a number of samples of correlated data values. If the number of samples is not infinite, estimates of the variance of the parameters ("error bars") and of the goodness of fit are affected. We illustrate these problems with numerical simulations, and calculate approximate corrections to the variance of the parameters for estimates made in the standard way from derivatives of the parameters' probability distribution as well as from jackknife and bootstrap estimates.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Sample size effects in multivariate fitting of correlated 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 Sample size effects in multivariate fitting of correlated data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sample size effects in multivariate fitting of correlated data will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-705959

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.