Comparison based on OC curve with different standard deviations

This function produces overlaid Operating Characteristic (OC) curves for any three systematic/random sampling schemes for specified parameters with different standard deviation vlues.

compare_plans_oc_sd(c1, c2, c3, r1, t1, r2, t2, r3, t3, sd1, sd2, sd3, distribution, K, m)

Arguments

c1, c2, c3

acceptance numbers

r1, r2, r3

number of primary increments in a grab sample or grab sample size

t1, t2, t3

number of grab samples

sd1, sd2, sd3

standard deviations of the lognormal and Poisson-lognormal distributions on the log10 scale

distribution

what distribution we have used such as 'Poisson gamma' or 'Lognormal'or 'Poisson lognormal'

K

dispersion parameter of the Poisson gamma distribution (default value 0.25)

m

microbiological limit with default value zero, generally expressed as number of microorganisms in specific sample weight

Value

overlaid OC curves

See also

prob_accept

Examples

c1 <- 0
c2 <- 0
c3 <- 0
r1 <- 25
r2 <- 25
r3 <- 25
t1 <- 30
t2 <- 30
t3 <- 30
sd1 <- 0.2
sd2 <- 0.4
sd3 <- 0.8
distribution <- 'Poisson lognormal'
compare_plans_oc_sd(c1, c2, c3, r1, t1, r2, t2, r3, t3, sd1, sd2, sd3, distribution)