Chiang-Sheng Lee
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Chiang-Sheng Lee has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
Stephen B. Vardeman
Iowa State University, Ames, IA 50011-1210
1 shared publicationStephen Vardeman
1 shared publication
Latest Publications
- 18 March 2002
- Published by Taylor & Francis in Communications in Statistics - Simulation and Computation
- Vol. 31 (1) , 13-34
INTERVAL ESTIMATION OF A NORMAL PROCESS STANDARD DEVIATION FROM ROUNDED DATA
- 18 March 2002
- Published by Taylor & Francis in Communications in Statistics - Simulation and Computation
- Vol. 31 (1) , 13-34
INTERVAL ESTIMATION OF A NORMAL PROCESS STANDARD DEVIATION FROM ROUNDED DATA
- 1 July 2001
- Published by Taylor & Francis in Journal of Quality Technology
- Vol. 33 (3) , 335-348
Interval Estimation of a Normal Process Mean from Rounded Data
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.
- 1 July 2001
- Published by Taylor & Francis in Journal of Quality Technology
- Vol. 33 (3) , 335-348
Interval Estimation of a Normal Process Mean from Rounded Data
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.