Article
Interval Estimation of a Normal Process Mean from Rounded Data
Journal of Quality Technology
Document Type
Article
Disciplines
Publication Version
Published Version
Publication Date
7-1-2001
DOI
10.1080/00224065.2001.11980083
Abstract
Standard statistical methods are based on an implicit assumption that numerical data are exact. But in truth, all real data are rounded to some smallest unit of measure related to the precision of the device used to produce them. When the degree of rounding is severe, ignoring the rounding produces statistical methods with operating characteristics far from nominal. We discuss the interval estimation of the parameter μ when rounded data come from the N(μ,σ2) distribution.
Rights
Reprinted with permission from Journal of Quality Technology (c) 2001 ASQ, www.asq.org
Copyright Owner
ASQ
Copyright Date
2001
Language
en
File Format
application/pdf
Citation Information
Chiang-Sheng Lee and Stephen B. Vardeman. "Interval Estimation of a Normal Process Mean from Rounded Data" Journal of Quality Technology Vol. 33 Iss. 3 (2001) p. 335 - 348 Available at: http://works.bepress.com/stephen_vardeman/36/
This article is published as Lee, Chiang-Sheng, and Stephen B. Vardeman. "Interval estimation of a normal process mean from rounded data." Journal of Quality Technology 33, no. 3 (2001): 335-348. DOI: 10.1080/00224065.2001.11980083. Posted with permission.