On Nonparametric Maximum Likelihood Estimations of Multivariate Distribution Function Based on Interval-Censored Data
Author:
Affiliation:
1. a Department of Mathematics and Statistics , University of Regina , Regina, Saskatchewan, Canada
2. b Division of Biostatistics, University of Maryland Greenebaum Cancer Center , Baltimore, Maryland, USA
Publisher
Informa UK Limited
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610920802155494
Reference19 articles.
1. A non-parametric maximum likelihood estimator for bivariate interval censored data
2. A New, Fast Algorithm to Find the Regions of Possible Support for Bivariate Interval-Censored Data
3. Testing Independence for Bivariate Current Status Data
4. Computational Algorithms for Censored-Data Problems Using Intersection Graphs
5. Nonparametric estimation of the bivariate CDF for arbitrarily censored data
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1. Nonparametric test for stratum effects in the cox model with interval-censored data;Communications in Statistics - Theory and Methods;2017-12-08
2. Regression Analysis of Left-truncated and Case I Interval-censored Data with the Additive Hazards Model;Communications in Statistics - Theory and Methods;2015-04-03
3. Global rates of convergence of the MLE for multivariate interval censoring;Electronic Journal of Statistics;2013-01-01
4. Asymptotics for non-parametric likelihood estimation with doubly censored multivariate failure times;Journal of Multivariate Analysis;2009-09
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