It also introduces some elementary multiple comparison methods. It was written at the Masters level in Statistics and assumes the reader is familiar with classical experimental design. Despite their potential practial appeal, very few of these methodologies have found their way into methodological textbooks and hence into usage. The intent with the present volume is to bridge this gap. Concerning selection procedures, this book presents methodologies that shows how these techniques can be applied to three probability models that play a central role in many statistical studies of experimental data.
Software is given to implement many of the procedures presented.
Errata Please contact the authors if you wish to report typos or errors. He was Fellow of the American Statistical Association and of the Institute of Mathematical Statistics. Thomas Santner is Professor of Statistics at the Ohio State University. He is former Department Chair and former Director of the the Department's Statistical Consulting Service. His research interests are in the design and analysis of computer screening experiments, the spatial and spatial-temporal analysis of fMRI image data, and the design and analysis of experiments for selection and screening.