Comparison based on probability of detection curves for different dilution schemes when the diluted samples collected from a heterogeneous batch.

pd_curves_heterogeneous provides the probability of detection curves when samples collected from a heterogeneous batch.

pd_curves_heterogeneous(mu_low, mu_high, sd, a, b, f, u, USL, n_sim)

Arguments

mu_low: the lower value of the mean concentration (\(\mu\)) for use in the graphical display's x-axis (on the log scale).
mu_high: the upper value of the mean concentration (\(\mu\)) for use in the graphical display's x-axis (on the log scale).
sd: the standard deviation of the normal distribution (on the log scale).
a: lower domain of the number of cell counts.
b: upper domain of the number of cell counts.
f: final dilution factor.
u: amount put on the plate.
USL: upper specification limit.
n_sim: number of simulations (large simulations provide more precise estimations).

Value

Probability of detection curves when samples collected from a heterogeneous batch.

Details

pd_curves_heterogeneous provides probability of detection curves for different dilution schemes when the diluted samples collected from a heterogeneous batch (this section will be updated later on).

Examples

mu_low <- 0
mu_high <- 10
sd <- 0.2
a <- 0
b <- 300
f <- c(0.01,0.1)
u <- c(0.1,0.1)
USL <- 1000
n_sim <- 50000
pd_curves_heterogeneous(mu_low, mu_high, sd, a, b, f, u, USL, n_sim)