boot.pivot: Bootstrap based prediction intervals

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Bootstrap based prediction intervals

Usage

boot.pivot(
  B = 100,
  N = 20,
  mu = 5.13,
  sigma = 0.161,
  t_c = NULL,
  fails = NULL,
  alpha = 0.05
)

Arguments

B	The number of bootstrap cycles
N	The size of the original data sample
mu	ML estimate for the mean of the original data sample
sigma	ML estimate for the standard deviation of the original data sample
t_c	Censoring time for Type-I censored tests
fails	Number of failures for Type-II censored tests
alpha	Desired significance level

Auburngrads/SMRD documentation built on Sept. 14, 2020, 2:21 a.m.