Some Observations Regarding the Statistical Determination of Stress Rupture Regression Lines

[+] Author and Article Information
P. P. Pizzo

Advanced Reactor Systems Department, General Electric Company, San Jose, Calif. 95125

J. Pressure Vessel Technol 101(4), 286-291 (Nov 01, 1979) (6 pages) doi:10.1115/1.3454635 History: Received June 17, 1977; Revised February 23, 1979; Online October 25, 2010


Observations concerning the statistical evaluation of creep data are presented. Methods currently employed in the determination of stress rupture regression lines can result in conflicting and necessarily invalid results. Anomalous behavior is principally associated with the selection of the dependent variable. However, it is the least squares method of curve fitting which introduces regression bias. Methods to improve the validity of least squares regressions are suggested.

Copyright © 1979 by ASME
Topics: Stress , Rupture , Creep , Fittings
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