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.
NIST Engineering Statistics Handbook
Share this page
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…
View contributions
