Anomalities in the Analysis of Calibrated Data

Details Anomalities in the Analysis of Calibrated Data Anomalities in the Analysis of Calibrated Data

2007-03-19

arxiv.org/abs/math/0703550v1

Jensen, D. R. and D. E. Ramirez. 2009. Anomalies in the analysis of calibrated data. Journal of Statistical Computation and Si

Mathematics

Statistics Theory

Scientific paper

10.1080/00949650701756864

This study examines effects of calibration errors on model assumptions and data--analytic tools in direct calibration assays. These effects encompass induced dependencies, inflated variances, and heteroscedasticity among the calibrated measurements, whose distributions arise as mixtures. These anomalies adversely affect conventional inferences, to include the inconsistency of sample means; the underestimation of measurement variance; and the distributions of sample means, sample variances, and Student's t as mixtures. Inferences in comparative experiments remain largely intact, although error mean squares continue to underestimate the measurement variances. These anomalies are masked in practice, as conventional diagnostics cannot discern irregularities induced through calibration. Case studies illustrate the principal issues.

Affiliated with

Also associated with

No associations

Rating

Anomalities in the Analysis of Calibrated Data 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 Anomalities in the Analysis of Calibrated Data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Anomalities in the Analysis of Calibrated Data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-31741