Industrial and Manufacturing Systems Engineering, Statistics
Journal or Book Title
Journal of Quality Technology
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.
Reprinted with permission from Journal of Quality Technology (c) 2001 ASQ, www.asq.org
Lee, Chiang-Sheng and Vardeman, Stephen B., "Interval Estimation of a Normal Process Mean from Rounded Data" (2001). Statistics Publications. 147.