Description Usage Arguments Value Author(s) References Examples
Chain Sampling Plans for the binomial and Poisson distributions.
1 | ChainBinomial(N, n, i, p = seq(0, 0.2, 0.001), Plots = TRUE)
|
N |
the lot size |
n |
the sample size |
i |
the number of preceding lots that are free from nonconforming units for the lot to be accepted |
p |
a vector of values for the possible fraction of product that is nonconforming |
Plots |
logical to request generation of the four plots |
A matrix containing the argument p
as supplied and the
calculated OC, ATI and ???
Raj Govindaraju with minor editing by Jonathan Godfrey
Dodge, H.F. (1955) “Chain Sampling Inspection Plan”, Industrial Quality Control 11(4), pp10-13.
1 2 3 | require(Dodge)
ChainBinomial(1000, 20,3)
ChainPoisson(1000, 20,3)
|
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