Gentlefolk,
There exists a technique known as Orthogonal Distance Regression (aka
Deming regression) to establish if a linear relationhsip exists between
two variables when both are subject to error. A few statistics packages
even calculate it. I wonder if there exists a similar technique to
calculate a correlation coefficient bewteen two such variables, of if the
old Pearson correlation coefficient does not assume inerrancy in one
variable and is thus a sound measure. ID the Pearson moment is
unsatisfactory and someone knows of an algorithm or equations from which
one might calculate a suitable measure, I'd be grateful to hear from you.
I apologize if the question is trivial but all my reference materials are
stil in an unpacked state somewhere between Atlantis and Atlanta (;-)
Thanks for your indulgence,
Frank Isackson
