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).
|Author||Yili Hong, Yimeng Xie, Zhongnan Jin, and Caleb King|
|Date of publication||2016-11-03 20:12:52|
|Maintainer||Yili Hong <firstname.lastname@example.org>|
addt.confint.ti.mle: Confidence Interval for Thermal Index (TI).
addt.fit: ADDT Model Fitting
addt.mean.summary: ADDT Batch Means Summary
ADDT-package: Accelerated Destructive Degradation Testing
addt.predint.ybar.mle: Prediction of the mean of future observations
AdhesiveBondB: Adhesive Bond B dataset
AdhesiveFormulationK: Adhesive Formulation K Data
plot.addt.fit: ADDT Plotting
PolymerY: Polymeric Material
SealStrength: Data for Seal Strength
summary.addt.fit: Summary of an "addt.fit" object.
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