SealStrength

Seal Strength dataset presented in Li and Doganaksoy (2014).In the R package ADDT, Seal Strength dataset has minor modifications where the temperature at time point 0 is changed to 200 degree where in the original dataset, it is 100 degree. This is a computing trick that will not affect the model results.

Accelerated destructive degradation tests (ADDT) are often used to collect necessary data for assessing the long-term properties of polymeric materials. Based on the collected data, a thermal index (TI) is estimated. The TI can be useful for material rating and comparison. This package implements the traditional method based on the least-squares method, the parametric method based on maximum likelihood estimation, and the semiparametric method based on spline methods, and the corresponding methods for estimating TI for polymeric materials. The traditional approach is a two-step approach that is currently used in industrial standards, while the parametric method is widely used in the statistical literature. The semiparametric method is newly developed. Both the parametric and semiparametric approaches allow one to do statistical inference such as quantifying uncertainties in estimation, hypothesis testing, and predictions. Publicly available datasets are provided illustrations. More details can be found in Jin et al. (2017).

Yili Hong

ADDT

Analysis of Accelerated Destructive Degradation Test Data

SealStrength function

A data frame with 210 observations on the following 3 variables.
 <dl> </dl>

Format

M. Li, and N. Doganaksoy (2014). Batch variability in accelerated-degradation testing. Journal of Quality Technology 46, 171-180.

Source


Seal Strength dataset presented in Li and Doganaksoy (2014).

In the R package ADDT, Seal Strength dataset has minor modifications where the temperature at time point 0 is changed to 200 degree where in the original dataset, it is 100 degree. This is a computing trick that will not affect the model results.


SealStrength: Data for Seal Strength

Description

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Format

Source

Details