Title : ( Goodness-of-fit test based on information criterion for interval censored data )
Authors: fatemeh omidi , Vahid Fakoor , Arezou Habibirad ,
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Abstract
Some goodness-of-fit tests for interval censored data are proposed. For this aim, we introduce a divergence measure based on Kullback–Leibler divergence and use a resampling method called the leveraged bootstrap. We show that these tests are asymptotically consistent. Some results are determined using Monte Carlo simulation, and an example from AIDS research is considered
Keywords
Cumulative residual entropyinterval censored dataKullback–Leibler divergenceleveraged bootstrapnonparametric maximum likelihood estimator
@article{paperid:1085436,
author = {Omidi, Fatemeh and Fakoor, Vahid and Habibirad, Arezou},
title = {Goodness-of-fit test based on information criterion for interval censored data},
journal = {Communications in Statistics - Theory and Methods},
year = {2021},
volume = {52},
number = {3},
month = {June},
issn = {0361-0926},
pages = {830--850},
numpages = {20},
keywords = {Cumulative residual entropyinterval censored dataKullback–Leibler divergenceleveraged bootstrapnonparametric maximum likelihood estimator},
}
%0 Journal Article
%T Goodness-of-fit test based on information criterion for interval censored data
%A Omidi, Fatemeh
%A Fakoor, Vahid
%A Habibirad, Arezou
%J Communications in Statistics - Theory and Methods
%@ 0361-0926
%D 2021
