alt.parallel {WeibullR.ALT}

Modify an "alt" Object Establishing a Parallel Parametric Fit

Description

This function generates parameters for each applicable data set with the same log standard deviation or weibull slope.

Usage

alt.parallel(x, ignore_slope=0, set.exponential=FALSE, view_parallel_fits=TRUE)
	

Arguments

x

An "alt" object as generated by "alt.make".

ignore_slope

An optional vector listing any data set(s) that judged to be excluded from parallel parameter determination.

set.exponential

A logical used to establish an exponential assumption for the provided life data.

view_parallel_fits

A logical defining whether to generate a probability plot of the parallelized fits on the input data objects.

Details

A probability plot view of the data sets will be generated by default permitting a view of the parallelized parametric fitting.

The returned object can be plotted using S3 function "plot.alt" placing the failure points (taking intervals as mean time points) in accordance with theas specified alt.model relationship. By using the is.plot.fit_points an marker will be overlayed defining the median or characteristic life estimate for each set.

Value

The input object will be returned with the addition of a "$parallel_par" element.

References

Wayne Nelson, (1990) "Accelerated Testing", Wiley-Interscience, New York

William Q. Meeker and Luis A. Escobar, (1998) "Statistical Methods for Reliability Data", Wiley-Interscience, New York

Pascual F., Meeker W., Escobar L. (2006) Accelerated Life Test Models and Data Analysis. In: Pham H. (eds) Springer Handbook of Engineering Statistics. Springer Handbooks. Springer, London. https://doi.org/10.1007/978-1-84628-288-1_22