Interval Estimation of a Normal Process Mean from Rounded Data
Date
2001-07-01
Authors
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Person
Research Projects
Organizational Units
Journal Issue
Is Version Of
Versions
Series
Department
StatisticsIndustrial and Manufacturing Systems Engineering
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.
Comments
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.
Description
Keywords
Citation
DOI
Subject Categories
Keywords
Copyright
Mon Jan 01 00:00:00 UTC 2001