Directory of Standards Labs     Volunteer Roster     Committees     Job Search     Forums     Join NCSLI    
Home
Presidents' Message
Online Dues Payment
Membership
Welcome
Conference
Theme
Keynote Speaker
On-Line Registration
Registration Info
Technical Program
Tutorials
Exhibitor Listing
Schedule Overview
Committee Meetings
Current Sponsors
Sponsorship Programs
Hotel Discounts
Guest Program
International Event
VISA Processing Procedure
Volunteers Needed
Exhibit Sales 2008
Abstract Submit
Manuscript/Paper Instructions
2007 Presentations
Management
Future Conferences
Past Conferences
Accreditation
Calendar - Events
Calendar - Training
MyNCSLI
Measure Magazine
Metrologist Magazine
Region Events
Learning & Development
Metrology News
Resources
Publications
Streaming Video
Awards
Cubit Info
Forums
DRM FAQs
NCSLI Training Center
Metrology Jobs & Internships
Resume (Jobs & Internships)
Online Store
     

Abstract and Manuscript Management System - Abstract Detail

Main Menu | Abstracts
 
Speaker: Howard Castrup
Title: Uncertainty Analysis for Alternative Calibration Scenarios
Topic Group: Measurement Assurance
E-mail: hcastrup@isgmax.com
Co-Authors: Suzanne Castrup
Abstract: Calibrations are performed to obtain an estimate of the value or bias of selected unit-under-test (UUT) attributes. In general, calibrations are not considered complete without statements of the uncertainty in these estimates. Developing these statements requires accounting for all relevant sources of measurement error and assembling these errors in a way that yields viable uncertainty estimates. Frequently, there is confusion regarding which error sources to include and how to assemble them. Much of this confusion can be eliminated by both a rigorous examination of the objective of each UUT attribute calibration and a consideration of the corresponding measurement configuration or “scenario.”

In this paper, the calibration of UUT attributes is examined within the context of several scenarios. Each scenario yields a calibration result and a description of measurement process errors that accompany this result. This information is summarized and then employed to obtain an uncertainty estimate in the calibration result. The approach taken is one in which the uncertainty estimate can be applied to estimate measurement decision risk, UUT attribute bias and in-tolerance probability. Examples are given to illustrate concepts and procedures.