With this message I would like to address people in research and
development interested in collaborations evaluating a novel method for
variables technically hard to measure.

Recently I have specialized in the evaluation of measurements that,
because of multiple factors contributing to the apparent error,
provide only low precision results.  Such intrinsic error used to
contaminate massively the identification of changes for the objects
measured.

To overcome this problem, I developed a method to identify, and
gradually disqualify, low quality data.  This procedure succeeded in
minimizing dramatically the risk of detecting false positives without
loosing true positives.
I am interested in identifying and testing additional (novel)
applications for this type of evaluation.  This method is particularly
useful for trend-analysis and/or evaluating input generated from
multiple parallel sensors.

If you have a potential application, I would appreciate the
opportunity to discuss this with you in more detail.  Please contact
me at w_raff@yahoo.com .

Sincerely, Wolfgang Raffelsberger