Regression Analysis in Quality Control

Article

Crocker, Douglas C.   (1986, ASQC)   Ohio State University, Columbus, OH

40th Annual Quality Congress, May 1986, Anaheim, CA    Vol. 40    No. 0
QICID: 3156    May 1986    pp. 42-49
List $10.00
Member $5.00

This article is not available online. Contact us to receive a scan of the archive, in PDF format.
New to ASQ? REGISTER HERE.

Article Abstract

This session will introduce some general principles involved in regression analysis (RA) and its use in quality control. The material will be presented from the QC practitioner's viewpoint. This will not be just a statistical treatment of the subject which might be found in a textbook, but a comprehensive approach to the subject including the specification of goals and the related steps taken in the RA modelling process. Model assessment, data assessment, use of the regression model for prediction and control, and calculating "tolerance limits" for future observations, all part of this process, will be briefly examined. The related inverse estimation or "calibration" problem will be treated in detail, including methods for controlling precision. This involves examining the relative impact on precision of sample size, in-use replication size, and original data-collection "design". Multiple linear regression (MLR) application to quality control will be introduced with the modelling of attributes and categorical structures. Understanding of significance testing and confidence intervals will be assumed.

Keywords

Statistics


Browse QIC Articles Chronologically:     Previous Article     Next Article

New Search

Featured advertisers





ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.