Skip to main content

Python package for the Best Linear Unbiased Estimate (BLUE) method

Project description

BLUE method

A description of the BLUE method as implemented in this package can be found in

  • L. Lyons, D. Gibaut and P. Clifford, "How to Combine Correlated Estimates of a Single Physical Quantity", Nucl. Instrum. Meth. A 270 (1988) 110, doi:10.1016/0168-9002(88)90018-6.

  • A. Valassi, "Combining correlated measurements of several different physical quantities", Nucl. Instrum. Meth. A 500 (2003) 391, doi:10.1016/S0168-9002(03)00329-2.


  • the examples directory contains different usage possibilities
  • basic usage of the BLUE class (example in Nucl. Instrum. Meth. A 270 (1988) 110)
  • use uncertainties and correlation matrix as input
  • specify different uncertainty sources with individual correlations
  • use the "reduced correlations" option (reduce a 100% correlation to rho = sigma_X/sigma_Y, assuming sigma_X <= sigma_Y)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for blue-combine, version 0.2
Filename, size File type Python version Upload date Hashes
Filename, size blue_combine-0.2-py3-none-any.whl (16.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size blue_combine-0.2.tar.gz (2.9 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page