title: The graphical method for goodness of fit test in the inverse Weibull distribution based on multiply type-II censored samples.
abstract: Many studies have considered a truncated and censored samples which are type-I, type-II and hybrid censoring scheme. The inverse Weibull distribution has been utilized for the analysis of life testing and reliability data. Also, this distribution is a very flexible distribution. The inverse Rayleigh distribution and inverse exponential distribution are a special case of the inverse Weibull distribution. In this paper, we derive the approximate maximum likelihood estimators (AMLEs) of the scale parameter and the shape parameter in the inverse Weibull distribution under multiply type-II censoring. We also propose a simple graphical method for goodness-on-fit test based on multiply type-II censored samples using AMLEs.
authors.affiliation: Department of Statistics, Yeungnam University, Gyeongsan, 712-749 Korea.
authors.forename: Suk-Bok
authors.initials: SB
authors.lastname: Kang
authors.affiliation: Statistics and Analysis Team, Korea Student Aid Foundation, Seoul, 100-753 Korea.
authors.forename: Jun-Tae
authors.initials: JT
authors.lastname: Han
keywords: Approximate maximum likelihood estimator; Goodness-of-fit test; Inverse Weibull distribution; Multiply type-II censored sample