availDis: Availability Distribution

In mistat: Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks and Amberti

Availability Distribution

Description

Provide the Empirical Bootstrap Distribution of the asymptotic availability index A_∞, based on observed samples of failure times and repair times.

Usage

availDis(ttf, ttr, n, seed = NA, printSummary = TRUE)

Arguments

ttf	numeric vector of Time To Failure
ttr	numeric vector of Time To Repair
n	the number of bootstrap replicates
seed	a single value, interpreted as an integer. If specified make the simulation replicable.
printSummary	logical, if TRUE print the Mean Time To Failure, Mean Time To Repair and the asymptotic availability

Value

A numeric vector of lenght n with simulated availabilities

Author(s)

Daniele Amberti

References

Kenett, R., Zacks, S. with contributions by Amberti, D. Modern Industrial Statistics: with applications in R, MINITAB and JMP. Wiley.

See Also

renewDis

Examples

set.seed(123)

Ttf <- rgamma(50, 
              shape=2, 
              scale=100)

Ttr <- rgamma(50, 
              shape=2, 
              scale=1)

AvailEbd <- availDis(ttf=Ttf,  
                     ttr=Ttr, 
                     n=1000)

mistat documentation built on March 7, 2023, 6:43 p.m.