goftype2 {bccp}

Computing goodness-of-fit (GOF) measures under progressive type-II censoring scheme.

Description

The goodness-of-fit (GOF) measures consist of Anderson-Darling (AD), Cramer-von Misses (CVM), and log-likelihood statistics for progressive type-II censoring scheme.

Usage

goftype2(plan, param, mle, cdf, pdf)

Arguments

plan

Censoring plan for progressive type-II censoring scheme. It must be given as a data.frame that includes number of failed items X, and vector of removed items R.

param

Vector of the of the family parameter's names.

mle

Vector of the maximum likelihood estimators.

cdf

Expression for the cumulative distribution function.

pdf

Expression for the probability density function.

Author(s)

Mahdi Teimouri

References

R. Pakyari and N. Balakrishnan 2012. A general purpose approximate goodness-of-fit for progressively Type-II censored data, IEEE Transaction on Reliability, 61, 238-244.

Examples

     n <- 20
     R <- c(5, rep(0, n-6) )
 param <- c("alpha","beta")
   mle <- c(2,6)
   pdf <- quote( alpha/beta*(x/beta)^(alpha-1)*exp( -(x/beta)^alpha ) )
   cdf <- quote( 1-exp( -(x/beta)^alpha ) )
    lb <- 0
    ub <- Inf
  plan <- rtype2(n = n, R = R, param = param, mle = mle, cdf = cdf, lb = lb, ub = ub)
goftype2(plan = plan, param = param, mle = mle, cdf = cdf, pdf = pdf)