normal_approximation: Normal approximation method

In serieslcb: Lower Confidence Bounds for Binomial Series System

Description

Calculate a binomial series lower confidence bound using a normal approximation with MLE estimates.

Usage

normal_approximation(s, n, alpha, use.backup = FALSE, backup.method, ...)

Arguments

s	Vector of successes.
n	Vector of sample sizes.
alpha	The significance level; to calculate a 100(1-α)% lower confidence bound.
use.backup	If TRUE, then a backup.method in the will be used for the methods with calculate LCB = 1 in the case of no failures across all components. If FALSE (default), no backup.method is used.
backup.method	The backup method which is used for the methods which calculate LCB = 1 in the case of zero failures. Use function name.
...	Additional arguments to be ignored.

Value

The 100(1-α)% lower confidence bound.

Examples

normal_approximation(s=c(35, 97, 59), n=c(35, 100, 60), alpha=.10)

serieslcb documentation built on July 9, 2019, 9:03 a.m.