Data transformations and goodness-of-fit tests for type-II right censored samples
Date
2015Author
Goldmann, Christian
Meintanis, Simos G.
Klar, Bernhard
Metadata
Show full item recordAbstract
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
URI
http://hdl.handle.net/10394/18514https://link.springer.com/article/10.1007%2Fs00184-014-0490-z
https://doi.org/10.1007/s00184-014-0490-z