NIST Engineering Statistics Handbook

This site provides a comprehensive electronic handbook on statistics for scientists and engineers. Topics include graphical approaches for exploratory data analysis, the characterization of measurement processes, the construction of statistical models for predicting and/or optimizing process, experimental design, process control monitoring, significance testing and the evaluation of product reliability. Although the site may be too detailed and complex for an undergraduate student to navigate without significant guidance, it is a useful resource for graduate students and practicing analytical chemists. Individual chapters can be downloaded as pdf files. The handbook provides numerous case studies and examples.

The website is available here .

About the Author

ASDL Contributor

David Harvey

Professor of Chemistry & Biochemistry at DePauw University

David T. Harvey is a Professor Emeritus of Chemistry and Biochemistry at DePauw University in Greencastle, Indiana, where he has been a dedicated faculty member since 1986. Over his nearly four-decade career, Dr…
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