Data transformations and goodness-of-fit tests for type-II right censored samples
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Date
Authors
Goldmann, Christian
Meintanis, Simos G.
Klar, Bernhard
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
We 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 method
Description
Citation
Goldmann, 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]