MRRw3pxy: Weibull 3rd parameter optimization using X on Y median rank...

In pivotals: Functions implementing pivotal Monte Carlo methods

Description

MRRw3pxy optimizes the fit on a set of data consisting of failures, or alternatively failures and suspensions, by adjusting for a third, translation, parameter for the Weibull distribution.

Usage

MRRw3pxy(x,s=NULL,limit=10^-5)

Arguments

x	A vector of failure data.
s	An optional vector of suspension data.
limit	a convergence limit on the optimization of the third parameter value.

Details

This function will sort all input data while preserving failure and suspension information in paired vectors. Then a call is made to a fast C++ implementation to complete the regression according to the X on Y orientation designated as best paractice by Dr. Abernethy.

Value

A vector containing results in the following order: Eta (scale), Beta (shape), t(0), R^2 (explained variance of regression)

References

Dr. Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition"

Examples

failures<-c(90,96,30,49,82)
suspensions<-c(100,45,10)
regression_result<-MRRw3pxy(failures,suspensions)

pivotals documentation built on May 2, 2019, 4:51 p.m.