Nothing
Var.t.minus <-
function(mu.minus,mu0,s.minus,s0,n.minus,n0)
{
###This function calculates the variance of the estimate on the lower optimal cut-point,under normality assumption
###To get the counterparts for t.plus on mu0,mu.plus,s0,s.plus, simply simultaneously replace mu.minus by mu0, mu0 by mu.plus, s.minus by s0 and s0 by s.plus
res1 <- PartialDeriv.optimalCutoff(mu.minus,mu0,s.minus,s0)
deriv.tminus.mu.minus <- res1$deriv.mu1
deriv.tminus.mu0 <- res1$deriv.mu2
deriv.tminus.s.minus <- res1$deriv.s1
deriv.tminus.s0 <- res1$deriv.s2
var0 <- deriv.tminus.mu.minus^2*var.mu(s.minus,n.minus)+deriv.tminus.mu0^2*var.mu(s0,n0)+deriv.tminus.s.minus^2*var.sigma(s.minus,n.minus)+deriv.tminus.s0^2*var.sigma(s0,n0)
return(var0)
}
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