Kullback-Leibler divergence measure based tests concerning the biasness in a sample

DOI10.1016/j.stamet.2014.04.001zbMath1486.62054OpenAlexW1970495395MaRDI QIDQ1731228

George Tzavelas, Polychronis Economou

Publication date: 13 March 2019

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2014.04.001

zbMATH Keywords

right censoringKullback-Leibler distanceweighted distributionsbiased sampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Testing in survival analysis and censored data (62N03)

Cites Work

• A note on the uniformly most powerful tests in the presence of nuisance parameters
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• Sample Tests for Detection of Size-Biased Sampling Mechanism
• Fitting parametric frailty and mixture models under biased sampling
• ESTIMATION OF PARAMETERS OF MIXED EXPONENTIALLY DISTRIBUTED FAILURE TIME DISTRIBUTIONS FROM CENSORED LIFE TEST DATA
• How to Detect Biased Samples?
• Censored Kullback-Leibler Information and Goodness-of-Fit Test with Type II Censored Data
• On Small Samples Testing for Frailty Through Homogeneity Test
• On the theory of screening for chronic diseases
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