Function to find a decision interval h* for given reference value k and desired ARL $$\gamma$$ so that the average run length for a Poisson or Binomial CUSUM with in-control parameter $$\theta_0$$, reference value k and is approximately $$\gamma$$, i.e. $$\Big| \frac{ARL(h^*) -\gamma}{\gamma} \Big| < \epsilon$$, or larger, i.e. $$ARL(h^*) > \gamma$$.

findH(ARL0, theta0, s = 1, rel.tol = 0.03, roundK = TRUE,
distr = c("poisson", "binomial"), digits = 1, FIR = FALSE, ...)

hValues(theta0, ARL0, rel.tol=0.02, s = 1, roundK = TRUE, digits = 1,
distr = c("poisson", "binomial"), FIR = FALSE, ...)

## Arguments

ARL0

desired in-control ARL $$\gamma$$

theta0

in-control parameter $$\theta_0$$

s

change to detect, see details

distr

"poisson" or "binomial"

rel.tol

relative tolerance, i.e. the search for h* is stopped if $$\Big| \frac{ARL(h^*) -\gamma}{\gamma} \Big| <$$ rel.tol

digits

the reference value k and the decision interval h are rounded to digits decimal places

roundK

passed to findK

FIR

if TRUE, the decision interval that leads to the desired ARL for a FIR CUSUM with head start $$\frac{\code{h}}{2}$$ is returned

...

further arguments for the distribution function, i.e. number of trials n for binomial cdf

## Value

findH returns a vector and hValues returns a matrix with elements

theta0

in-control parameter

h

decision interval

k

reference value

ARL

ARL for a CUSUM with parameters k and h

rel.tol

corresponds to $$\Big| \frac{ARL(h) -\gamma}{\gamma} \Big|$$

## Details

The out-of-control parameter used to determine the reference value k is specified as: $$\theta_1 = \lambda_0 + s \sqrt{\lambda_0}$$ for a Poisson variate $$X \sim Po(\lambda)$$

$$\theta_1 = \frac{s \pi_0}{1+(s-1) \pi_0}$$ for a Binomial variate $$X \sim Bin(n, \pi)$$