Statistical Design for Research (Wiley Series in Probability and Mathematical Statistics)

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.

This title addresses those basic aspects of research design which are common to many related fields in the social sciences, health sciences, education, and market research. The work presents a unified approach to a common core of problems of statistical design that exists in all these fields, along with basic similarities in practical solutions. Describing many examples and analogies that are 'portable' from application field to application field, Statistical Design for Research deals with designs that are the primary basis of research studies, but are neglected in most statistical textbooks that tend to concentrate on statistical analysis. This text takes a broader, more general and philosophical view of the statistics for the more fundamental aspects of design than do the standard treatments of experimental design. Extensively illustrated and carefully organized into seven chapters and 44 sections, this book can be readily consulted by research workers or graduate students!

About the author Leslie Kish is Professor Emeritus at the University of Michigan where he was a founder (1947) of the Institute for Social Research and selected as Henry Russel Lecturer for 1981. He is the author of Survey Sampling (Wiley, 1965) and of many articles. Dr. Kish was President of the American Statistical Association (1977), and of the International Association of Survey Statisticians (1983–85). He is an Honorary Fellow of the Royal Statistical Society and a member of the International Statistical Institute.