✦ LIBER ✦

Factors for One-Sided Tolerance Limits and for Variables Sampling Plans.by D. B. Owen

✍ Scribed by Review by: N. L. Johnson

Book ID: 124279647
Publisher: Oxford University Press
Year: 1964
Tongue: English
Weight: 318 KB
Volume: 51
Category: Article
ISSN: 0006-3444
DOI: 10.2307/2334235

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Table of Factors for One-Sided Tolerance

Table of Factors for One-Sided Tolerance Limits for a Normal Distribution.by Donald B. Owen

✍ Review by: W. A. W. 📂 Article 📅 1959 🏛 American Statistical Association 🌐 English ⚖ 81 KB

Tables for Normal Tolerance Limits, Samp

Tables for Normal Tolerance Limits, Sampling Plans and Screening.by R. E. Odeh; D. B. Owen

✍ Review by: G. B. Wetherill 📂 Article 📅 1981 🏛 Blackwell Publishing ⚖ 289 KB

Improved Factors for One-Sided Tolerance

Improved Factors for One-Sided Tolerance Limits for Balanced One-Way ANOVA Random Model

✍ Robert W. Mee and D. B. Owen 📂 Article 📅 1983 🏛 American Statistical Association 🌐 English ⚖ 655 KB

Attribute Sampling Plans, Tables of Test

Attribute Sampling Plans, Tables of Tests and Confidence Limits for Proportions.by R. E. Odeh; D. B. Owen

✍ Review by: Asit P. Basu 📂 Article 📅 1985 🏛 American Statistical Association 🌐 English ⚖ 246 KB

One-sided tolerance limits for unbalance

One-sided tolerance limits for unbalanced one-way random effects models: a generalized Mee and Owen procedure

✍ Romero-Villafranca, R.; Zúnica, L.; Romero-Zúnica, R.; Pagura, J. A. 📂 Article 📅 2008 🏛 Taylor and Francis Group 🌐 English ⚖ 321 KB

Statistical Methods for Six Sigma (In R&

Statistical Methods for Six Sigma (In R&D and Manufacturing) || Appendix D2: k Values for One-Sided Normal Tolerance Limits

✍ Joglekar, Anand M. 📂 Article 📅 2004 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 36 KB 👁 1 views

A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for ac