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A Goodness of Fit Test for Censored Data

Communications in Statistics - Simulation and Computation, 1974
The treatment of censored data problems has been restricted almost exclusively to estimation of parameters. In this paper a goodness of fit test is presented for a completely specified distribution in which the single sample is censored at the kth ordered statistic (k < n), commonly known as Type II censored sample (David, 1970) , The technique is an ...
Lurie, D., Hartley, H. O., Stroud, M. R.
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Permutation procedures with censored data

Computational Statistics & Data Analysis, 2006
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Identifiability and censored data

Biometrika, 2003
Summary: It is well known that, without the assumption of independence between two nonnegative random variables \(X\) and \(Y\), the survival function of \(X\) is not identifiable on the basis of the joint distribution function of \(Z = \min(X, Y)\) and \(\delta = I(Z = Y)\).
Ebrahimi, Nader   +2 more
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On estimating equations with censored data

Biometrika, 1986
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Identity for the NPMLE in Censored Data Models

Lifetime Data Analysis, 1998
We derive an identity for nonparametric maximum likelihood estimators (NPMLE) and regularized MLEs in censored data models which expresses the standardized maximum likelihood estimators in terms of the standardized empirical process. This identity provides an effective starting point in proving both consistency and efficiency of NPMLE and regularized ...
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A Nonparametric Test for Association with Censored Data

Biometrics, 1978
A nonparametric procedure is proposed for the problem of testing association between two continuous variables when one is subject to arbitrary censoring. The motivation for the procedure derives from our finding that Cox's likelihood procedure may not adequately control the size of the test.
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Analysis of Censored Data

2018
Censored data occur when the value of an observation is only partially known. For example, it may be known that someone’s exact wealth is unknown but it may be known that their wealth exceeds one million dollars. In left censoring, the data may fall below a certain value whereas in right censoring, it may be above a certain value.
Mayer Alvo, Philip L. H. Yu
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Forecasting with Functional and Twice Censored Data

Operations Research Forum
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