bcost_WS: Warranty Services Cost
In BRDT: Binomial Reliability Demonstration Tests

Description Usage Arguments Value See Also Examples

Define the cost function of warranty services (WS) after the decision of the test (for binomial RDT)

1	bcost_WS(Cw, N, n, c, pi)

`Cw`	Average cost per warranty claim
`N`	Sales volume
`n`	RDT sample size
`c`	Maximum allowable failures
`pi`	Failure probability

The result is a vector with two values. The first value is the expected failure probability in warranty period. The second value is the expected warranty services cost.

bcost_RDT, bcost_RG, bcost_expected

#the n value can be the minimum test sample size obtained from \code{\link{boptimal_n}}.
n_optimal <- 20
pi <- pi_MCSim_beta(M = 1000, seed = 10, a = 1, b = 1)
WScost <- bcost_WS(Cw = 10, N = 1, n = n_optimal, c = 1, pi = pi);
print(WScost[1]) #expected failure probability
print(WScost[2]) #expected warranty services cost