eqnForMin: Evaluate the function to be minimised
In popKorn: For interval estimation of mean of selected populations

Description Usage Arguments Details Value

This will evaluate the appropriate function for determining the c value in the confidence interval for X_(1).

1 2	eqnForMin(c.val, lambda = 0.5, alpha = 0.05, min.loc = "infty", n, p, k = 1, var.known = TRUE)

`c.val`	The value at which to evaluate the appropriate function.
`lambda`	The value of lambda under consideration. This must be a scalar between 0 and 1.
`alpha`	The desired confidence coefficient.
`min.loc`	The location of the minimum, either at 'zero' or 'infty'.
`n`	The number of replications per population.
`p`	The number of populations considered. This must be present if min.loc is equal to 'zero'.
`k`	The number of populations selected.
`var.known`	A logical flag indicating if the variance of the observations is known exactly. It is TRUE by default.

This function will choose the correct equation to use for determining the smallest c-value that maintains the desired coverage probability. Note that this function does *not* do the minimization. That procedure is done by optimalC.

There are essentially 8 different cases to consider. They correspond to the cases when the variance is known or unknown, when the number of populations selected is greater than 1 or equal to 1, and when the minimum of the equation is located at infinity or 0.

The function returns a scalar value.

popKorn documentation built on May 2, 2019, 8:31 a.m.