Goldmann, ChristianMeintanis, Simos G.Klar, Bernhard2016-09-022016-09-022015Goldmann, C. et al. 2015. Data transformations and goodness-of-fit tests for type-II right censored samples. Metrika, 78(1):59-83. [https://doi.org/10.1007/s00184-014-0490-z]0026-13351435-926X (Online)http://hdl.handle.net/10394/18514https://link.springer.com/article/10.1007%2Fs00184-014-0490-zhttps://doi.org/10.1007/s00184-014-0490-zWe suggest several goodness-of-fit (GOF) methods which are appropriate with Type-II right censored data. Our strategy is to transform the original observations from a censored sample into an approximately i.i.d. sample of normal variates and then perform a standard GOF test for normality on the transformed observations. A simulation study with several well known parametric distributions under testing reveals the sampling properties of the methods. We also provide theoretical analysis of the proposed methodenEmpirical characteristic functionEmpirical distribution functionGoodness-of-fit testCensored dataArticle