Electrochemical applications of probability assessment methods via decision theory. Part I: Calibration and de-biasing by means of distribution functions

Abstract

De-biasing of calibration, obtained via prior assessment of parameters of distribution functions, provides a corrected probability distribution of further observation sets and hence, a more reliable means of estimating probabilities within a Bayesian framework. The paper explores the application of the technique to electrochemical processes, using membrane life-length, and the current efficiency of an electrolytic zinc-plating process as specific examples.