Email Document Reference

Enter your email address below and the reference for this document will be sent to shortly from webmaster@ceesi.com.

Title: Covariance And Correlation Demystified, Part 2
Author: Ricardo A. Nicholas
Source: 2006 Measurement Science Conference
Year Published: 2006
Abstract: Covariance and correlation can be somewhat of a mystery to evaluators of measurement uncertainty. Covariance, in particular, appears to be the most enigmatic, and therefore the least likely to be used. That need not be the case for those willing to learn or recall a few simple statistical theorems and study a small number of examples. A minimal mastery of them is a prerequisite to achieving a well-rounded competency in measurement uncertainty evaluation. This paper is a continuation and expansion of Covariance and Correlation Demystified, Part 1 1.

In order to prevent spam and automated file downloads for documents within the Measurement Library, please follow the instructions below and then you will be able to email a reference to this article.