AdhesiveBondB


A dataset from Escobar et al. (2003) containing the results of an accelerated destructive degradation testing on the strength of an adhesive bond.


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

AdhesiveBondB function

A data frame with 82 observations on the following 3 variables.
  <dl> </dl> 

Format

L. A. Escobar, W. Q. Meeker, D. L. Kugler, and L. L. Kramer, ``Accelerated destructive degradation
tests: Data, models, and analysis,'' in Mathematical and Statistical Methods in Reliability,
B. H. Lindqvist and K. A. Doksum, Eds. River Edge, NJ: World Scientific Publishing
Company, 2003, ch. 21.

AdhesiveBondB: Adhesive Bond B dataset

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