Librería Portfolio

Features

Focuses on a comprehensive set of design and analysis tools
Provides a roadmap for where and when to use various experimental design strategies
Contains a comprehensive set of tables that allow readers to quickly access various experimental designs
Presents ideas and strategies that have been used successfully in industry for decades
Includes examples illustrated using Excel, Minitab, JMP, Matlab and R
Summary

Although 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.



Table of Contents

Strategies for Experimentation. Statistical Analysis of Experimental Data. Basic Two-Level Factorial Experiments. Advanced Topics in the Design and Analysis of 2k Factorial Experiments. General Factorial Experiments and ANOVA. Regression Analysis of Experimental Data. Variance Component Studies. Screening Designs. Optimization Experiments. Response Surface Model Fitting. Sequential Experimentation. Mixture Experiments. Practical Suggestions for Successful Experimentation. Appendix.