AOQL_grab_B: Construction of AOQ curve and calculate AOQL value based on...

In Mayooran1987/grabsampling: Probability of detection for grab sample selection

Construction of AOQ curve and calculate AOQL value based on average microbial counts

Description

AOQL_grab_B provides the AOQ curve and calculates AOQL value based on average microbial counts.

Usage

AOQL_grab_B(c, r, t, distribution,llim, K, m, sd)

Arguments

c	acceptance number
r	number of primary increments in a grab sample or grab sample size
t	number of grab samples
distribution	what suitable microbiological distribution we have used such as 'Poisson gamma' or 'Lognormal'or 'Poisson lognormal'
llim	the upper limit for graphing the arithmetic mean of cell count
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
sd	standard deviation of the lognormal and Poisson-lognormal distributions on the log10 scale (default value 0.8)

Details

Since P_a is the probability of acceptance, \lambda is the arithmetic mean of cell count and the outgoing contaminated arithmetic mean of cell count of primary increments is given by AOQ as the product \lambda P_a. The quantity AOQL is defined as the maximum proportion of outgoing contaminated primary increments and is given by

AOQL ={\max_{\lambda \geq 0}}{\lambda P_a}

Value

AOQ curve and AOQL value based on average microbial counts

See Also

prob_accept

Examples

  c <-  0
  r <-  25
  t <-  30
  distribution <- 'Poisson lognormal'
  llim <- 0.20
  AOQL_grab_B(c, r, t, distribution, llim)

Mayooran1987/grabsampling documentation built on May 5, 2023, 8:12 p.m.