Campus Units

Industrial and Manufacturing Systems Engineering, Statistics

Document Type

Article

Publication Version

Published Version

Publication Date

7-2001

Journal or Book Title

Journal of Quality Technology

Volume

33

Issue

3

First Page

335

Last Page

348

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.

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.

Rights

Reprinted with permission from Journal of Quality Technology (c) 2001 ASQ, www.asq.org

Copyright Owner

ASQ

Language

en

File Format

application/pdf

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