ci.syn {AdvBinomApps} | R Documentation |
Upper Clopper-Pearson confidence limits under chip synergies
Description
Function to compute upper Clopper-Pearson confidence limits of failure probabilities on the basis of burn-in studies for each subset of a chip. Optionally, the required number of additional inspections for reaching a predefined target failure probability is returned.
Usage
ci.syn(k, n, alpha = 0.1, p.target = 1, tol = 1e-10)
Arguments
k |
vector of numbers of failures for each subset. |
n |
vector of numbers of inspections for each subset. |
alpha |
alpha-level (1-alpha confidence level, default: 0.1). |
p.target |
target failure probability (optional). |
tol |
tolerance of |
Value
p.hat |
upper Clopper-Pearson confidence limit of the failure probability of the assembled devices. |
n.add |
required number of additional inspections of each subset for reaching |
Author(s)
Daniel Kurz, Horst Lewitschnig
Maintainer: Horst Lewitschnig horst.lewitschnig@infineon.com
References
D. Kurz, H. Lewitschnig and J. Pilz: Failure probability estimation under additional subsystem information with application to semiconductor burn-in. Resubmitted to: Journal of Applied Statistics, 2015.
See Also
Examples
k<-c(0,1)
n<-c(110000,330000)
ci.syn(k,n,0.1,20e-06)
k<-c(1,0,1,5)
n<-c(330000,240000,240000,400000)
ci.syn(k,n,0.1,20e-06)