Steel

This dataset consists of the failure times for hardened steel specimens in a rolling contact fatigue test. Ten independent observations were
taken at each of the four values of contact stress. The response is the length of the time until each specimen of the hardened steel failed.

Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.

Luis Vanegas

ssym

Fitting Semi-Parametric log-Symmetric Regression Models

Steel function

A data frame with 40 observations on the following 2 variables.<dl>
 <dt><code>stress</code></dt>
<dd>values of contact stress, in pounds per square inch x \(10^{-6}\)</dd> <dt><code>life</code></dt>
<dd>length of the time until the specimen of the hardened steel failed.</dd> 
</dl>

Format

Hardened Steel — Steel

A data frame with 40 observations on the following 2 variables.<dl>
 <dt><code>stress</code></dt>
<dd>values of contact stress, in pounds per square inch x \(10^{-6}\)</dd>

 <dt><code>life</code></dt>
<dd>length of the time until the specimen of the hardened steel failed.</dd>

 
</dl>

Steel: Hardened Steel

Description

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References