ABSTRACT
The concept that the irregular fluctuations in microbial count records can be translated into probabilities of future high (or low) counts was described in the previous chapter. What follows in this chapter is a set of demonstrations of how the principle and resulting mathematical procedures can be implemented in the analysis of actual industrial microbial records in raw and processed foods and in water of a famous historic lake. The demonstrations will also include a comparison between the predicted frequencies of high counts, calculated with various models, and the frequencies actually observed in fresh data.
