This is a handbook with an innovative approach to the use of statistical methods to improve the quality of analysis. It does this by focusing on the specifics of processing measurement results and, also, by outlining the required procedures for evaluating a given measurement method and assessing the reliability of results.

The mathematical models provided give sufficient detail to help the non-statistician choose the appropriate method. And with the help of many examples, calculations can be carried out with only a limited knowledge of the theory of statistics. For fuller theoretical explanations, the appendices include more coherent frameworks although these are not essential when using the methods described in the main body of this book. Modelling and Estimation of Measurement Errors will be useful to scientists, engineers, teachers and students beyond the immediate sphere of chemical analysis. It will help with the refining of techniques, thus avoiding the pitfalls that can occur in statistical data processing.

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