Empirical likelihood inference for multiple censored samples
Author:
Affiliation:
1. School of Mathematics and Statistics; Carleton University; Ontario Canada
2. Department of Statistics; University of British Columbia; British Columbia Canada
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjs.11348/fullpdf
Reference21 articles.
1. A note on quantiles in large samples;Bahadur;The Annals of Mathematical Statistics,1966
2. Hypothesis testing in the presence of multiple samples under density ratio models;Cai;Statistica Sinica,2017
3. Bahadur representation of the empirical likelihood quantile process;Chen;Journal of Nonparametric Statistics,2000
4. Quantile and quantile-function estimations under density ratio model;Chen;The Annals of Statistics,2013
5. Merging information for semiparametric density estimation;Fokianos;Journal of the Royal Statistical Society, Series B,2004
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4. PERFORMANCE OF TWO-SIDED EWMA CEV CONTROL CHARTS WITH MULTIPLE CENSORED DATA;INT J IND ENG-THEORY;2022
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