find.plan: Utility function for finding sampling plans.

In AcceptanceSampling: Creation and Evaluation of Acceptance Sampling Plans

Utility function for finding sampling plans.

Description

Find the sampling plan with smallest sample size (single sample only) such that specified Producer Risk Point (PRP) and Consumer Risk Point (CRP) are both met.

Arguments

PRP	The Producer Risk Point in the form of a two element numeric vector of the form c(pd, pa). The first element, pd, specifies the quality level at which to evaluate the plan. The second element, pa, indicates the minimum probability of acceptance to be achieved by the plan.
CRP	The Consumer Risk Point in the form of a two element numeric vector of the form c(pd, pa). The first element, pd, specifies the quality level at which to evaluate the plan. The second element, pa, indicates the maximum probability of acceptance to be achieved by the plan.
type	The distribution which the sampling plan is based on. Possible values are binomial, hypergeom, poisson and normal.
N	The size of the population from which samples are drawn. Only applicable for type="hypergeom".
s.type	The type of the standard deviation. A value of known results in a sampling plan based on the population standard deviation, while a value of unknown results in the use of the sample standard deviation.

Usage

find.plan(PRP, CRP, type="binomial")

find.plan(PRP, CRP, type="hypergeom", N)

find.plan(PRP, CRP, type="normal", s.type="unknown")

Author(s)

Andreas Kiermeier

See Also

OC2c, OCvar

AcceptanceSampling documentation built on April 6, 2022, 9:06 a.m.