How to Combine Independent Data Sets for the Same Quantity

Details How to Combine Independent Data Sets for the Same Quantity How to Combine Independent Data Sets for the Same Quantity

2010-05-27

arxiv.org/abs/1005.4978v3

Physics

Data Analysis, Statistics and Probability

20 pages, 7 figures

Scientific paper

This paper describes a recent mathematical method called conflation for consolidating data from independent experiments that are designed to measure the same quantity, such as Planck's constant or the mass of the top quark. Conflation is easy to calculate and visualize, and minimizes the maximum loss in Shannon information in consolidating several independent distributions into a single distribution. In order to benefit the experimentalist with a much more transparent presentation than the previous mathematical treatise, the main basic properties of conflation are derived in the special case of normal (Gaussian) data. Included are examples of applications to real data from measurements of the fundamental physical constants and from measurements in high energy physics, and the conflation operation is generalized to weighted conflation for situations when the underlying experiments are not uniformly reliable.

Affiliated with

Also associated with

No associations

Rating

How to Combine Independent Data Sets for the Same Quantity 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 How to Combine Independent Data Sets for the Same Quantity, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and How to Combine Independent Data Sets for the Same Quantity will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-191849