Statistical Intervals: A Guide for Practitioners (Wiley Series in Probability and Statistics) - Hardcover

Hahn, Gerald J.; Meeker, William Q.

9780471887690: Statistical Intervals: A Guide for Practitioners (Wiley Series in Probability and Statistics)

Hardcover

ISBN 10: 0471887692 ISBN 13: 9780471887690

Publisher: Wiley–Blackwell, 1991

Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and gives instruction with numerous examples and simple math on how to construct such intervals from sample data. This includes confidence intervals to contain a population percentile, confidence intervals on probability of meeting specified threshold value, and prediction intervals to include observation in a future sample. Also has an appendix containing computer subroutines for nonparametric statistical intervals.

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About the Author:

Gerald J. Hahn, PhD, worked at the GE Global Research Center for 46 years, where he managed its statistics group for 28 years and was elected a Coolidge Fellow, the organization's highest honor, in 1984. A Fellow of the American Statistical Association and American Society for Quality, Dr. Hahn is the author of numerous papers and the coauthor of Statistical Models in Engineering; Statistical Intervals: A Guide for Practitioners; and The Role of Statistics in Business and Industry, all published by Wiley. He has received many professional awards and served as adjunct professor at various universities. William Q. Meeker, PhD, is Professor of Statistics and Distinguished Professor of Liberal Arts and Sciences at Iowa State University. He is a Fellow of the American Statistical Association and an elected member of the International Statistics Institute. Among his many awards and honors are the Youdan Prize and two Wilcoxon Prizes as well as two awards for outstanding teaching at Iowa State. He is coauthor of Statistical Intervals: A Guide for Practitioners (Wiley) and of numerous book chapters and publications in the engineering and statistical literature. A former editor of Technometrics and coeditor of Selected Tables in Mathematical Statistics, he is currently Associate Editor for International Statistical Review.

Synopsis:

Aimed at practitioners in various fields who need to draw conclusions from limited sample data, this text combines both tried and tested methods along with new methods in the area of prediction intervals. It presents material on tolerance and prediction intervals and includes a range of practical examples drawn from the authors' own experience.

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