addt.predint.ybar.mle


The confidence level of the prediction interval. This argument is in decimal form (i.e., 95% is 0.95).


conflevel


The number of future observations within a batch at the future time point.


num.fut.obs


The temperature level at which predictions are to be made.


temp


The future time point where prediction is desired.



Given observations for one temperature level up to some time point, computes a prediction interval for the mean degradation level at some future time point.


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 performs the least squares (LS) and maximum likelihood (ML) procedures for estimating TI for polymeric materials. The LS approach is a two-step approach that is currently used in industrial standards, while the ML procedure is widely used in the statistical literature. The ML approach allows one to do statistical inference such as quantifying uncertainties in estimation, hypothesis testing, and predictions. Two publicly available datasets are provided to allow users to experiment and practice with the functions.

addt.predint.ybar.mle: Prediction of the mean of future observations

Description

Usage

Arguments

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References

See Also