Determination of the Critical Correlation Coefficient to Establish a Good Fit for Weibull and Log-Normal Failure Distributions

1999-01-0057

03/01/1999

Event
International Congress & Exposition
Authors Abstract
Content
Least-squares rank regression is often used for curve fitting Weibull or Normal failure data. Most software packages calculate the correlation coefficient, r, or the coefficient of determination, r2. Monte Carlo simulation was used to create and analyze several thousand data sets. By comparing r from a given sample to results obtained from Monte Carlo simulation, the goodness of fit of the sample can be determined.
Meta TagsDetails
DOI
https://doi.org/10.4271/1999-01-0057
Pages
6
Citation
Tarum, C., "Determination of the Critical Correlation Coefficient to Establish a Good Fit for Weibull and Log-Normal Failure Distributions," SAE Technical Paper 1999-01-0057, 1999, https://doi.org/10.4271/1999-01-0057.
Additional Details
Publisher
Published
Mar 1, 1999
Product Code
1999-01-0057
Content Type
Technical Paper
Language
English