Statistical tolerance regions theory, applications, and computation /

A modern and comprehensive treatment of tolerance intervals and regions. The topic of tolerance intervals and tolerance regions has undergone significant growth during recent years, with applications arising in various areas such as quality control, industry, and environmental monitoring. Statistica...

Full description

Saved in:
Bibliographic Details
Main Authors: Krishnamoorthy, K. (Kalimuthu)
Group Author: Mathew, Thomas, 1955-
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470473900
Summary: A modern and comprehensive treatment of tolerance intervals and regions. The topic of tolerance intervals and tolerance regions has undergone significant growth during recent years, with applications arising in various areas such as quality control, industry, and environmental monitoring. Statistical Tolerance Regions presents the theoretical development of tolerance intervals and tolerance regions through computational algorithms and the illustration of numerous practical uses and examples. This is the first book of its kind to successfully balance theory and practice, providing a state-of-th.
Carrier Form: 1 online resource (xix, 461 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 441-456) and index.
ISBN: 9780470473894 (electronic bk.)
0470473894 (electronic bk.)
9780470473900
0470473908
1282114123
9781282114128
Index Number: QA276
CLC: O212
Contents: STATISTICAL TOLERANCE REGIONS: Theory, Applications, and Computation; Contents; List of Tables; Preface; Chapter 1. Preliminaries; Chapter 2. Univariate Normal Distribution; Chapter 3. Univariate Linear Regression Model; Chapter 4. The One-way Random Model with Balanced Data; Chapter 5. The One-way Random Model with Unbalanced Data; Chapter 6. Some General Mixed Models; Chapter 7. Some Non-Normal Distributions; Chapter 8. Nonparametric Tolerance Intervals; Chapter 9. The Multivariate Normal Distribution; Chapter 10. The Multivariate Linear Regression Model.