Statistical Intervals
A Guide for Practitioners
Published on 19. August 1991
Book
Hardback
416 pages
978-0-471-88769-0 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 244 mm
Width: 163 mm
Thickness: 25 mm
Weight
640 gr
ISBN-13
978-0-471-88769-0 (9780471887690)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
William Q. Meeker | Gerald J. Hahn | Luis A. Escobar
Statistical Intervals
A Guide for Practitioners and Researchers
Book
06/2017
2nd Edition
Wiley
€115.00
Shipment within 10-20 days
Additional editions
E-Book
09/2011
Wiley
€196.99
Available for download
Person
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.
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.
Content
Overview of Different Types of Statistical Intervals. Constructing Statistical Intervals Assuming a Normal Distribution Using Simple Tabulations. Methods for Calculating Statistical Intervals for a Normal Distribution. Distribution--Free Statistical Intervals. Statistical Intervals for Proportions and Percentages (Binomial Distribution). Statistical Intervals for the Number of Occurrences (Poisson Distribution). Sample Size Requirements for Confidence Intervals on Population Parameters. Sample Size Requirements for Tolerance Intervals, Tolerance Bounds, and Demonstration Tests. Sample Size Requirements for Prediction Intervals. A Review of Other Statistical Intervals. Other Methods for Setting Statistical Intervals. Case Studies. Epilogue. Appendices. References. Author Index. Subject Index.