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

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page