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New estimators for the bivariate and marginal distributions of these variables are proposed. The estimators of the marginal distributions are not the marginals of the corresponding estimator of the bivariate distribution. Both estimators require estimation of the conditional distribution when the conditioning variable is subject to censoring. Such a method of estimation is proposed. The weak convergence of the estimators proposed is obtained. A small simulation study suggests that the estimators of the marginal and bivariate distributions perform well relatively to respectively the Kaplan\u2013Meier estimator for the marginal distribution and the estimators of Pruitt and van der Laan for the bivariate distribution. The use of the estimators in practice is illustrated by the analysis of a data set.<\/jats:p>","DOI":"10.1111\/1467-9868.00396","type":"journal-article","created":{"date-parts":[[2004,12,28]],"date-time":"2004-12-28T14:38:40Z","timestamp":1104244720000},"page":"457-471","source":"Crossref","is-referenced-by-count":49,"title":["Estimation of Bivariate and Marginal Distributions with Censored Data"],"prefix":"10.1093","volume":"65","author":[{"given":"Michael G.","family":"Akritas","sequence":"first","affiliation":[{"name":"Pennsylvania State University , University Park , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ingrid Van","family":"Keilegom","sequence":"additional","affiliation":[{"name":"Universit\u00e9 catholique de Louvain , Louvain-la-Neuve , Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2003,4,25]]},"reference":[{"key":"2023033000105487400_","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1214\/aos\/1176325630","article-title":"Nearest neighbor estimation of a bivariate distribution under random censoring","volume":"22","author":"Akritas","year":"1994","journal-title":"Ann. 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