Erjavec J., Lawson J. Basic Experimental Strategies and Data Analysis for Science and Engineering

Boca Raton: CRC Press, 2017. — 418 p.Athough books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their work. This book fills that gap. It is written as a guide that can be used as a reference book or as a sole or supplemental text for a university course.Strategies for experimentation with multiple factors
Statistics and probability
Basic two-level factorial experiments
Additional tools for two-level factorials
General factorial experiments and ANOVA
Variance component studies
Screening designs
Regression analysis
Response surface designs
Response surface model fitting
Sequential experimentation
Mixture experiments
Practical suggestions for successful experimentation.