Further Aspects of a Markovian Sampling Policy for Water Quality Monitoring

Publisher Website
Google Scholar
Abstract
A Markov process is developed as a mathematical model to study the general problem of quality control monitoring. This approach was previously used by Arnold in development of sampling plans to study the water quality monitoring of streams. Arnold considered the expected sample size required for various sampling plans. Arnold''s work was extended and equations derived for the variance of the sample size. Approximation schemes are also developed that could greatly enhance the implementation of this sampling procedure. Techniques are presented showing that an accurate approximation to the expected sample size can be obtained simply by the use of a hand calculator and equations developed within the paper. Accurate approximations for the variances of sample size can also easily be obtained.

This publication has 0 references indexed in Scilit: