Non-parametric maximum likelihood estimation of interval-censored failure time data subject to misclassification

The paper considers non-parametric maximum likelihood estimation of the failure time distribution for interval-censored data subject to misclassification. Such data can arise from two types of observation scheme; either where observations continue until the first positive test result or where tests...

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Veröffentlicht in:	Statistics and computing Jg. 27; H. 6; S. 1585 - 1593
1. Verfasser:	Titman, Andrew C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2017 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computation Economic models Estimating techniques Heart Iterative methods Mathematics and Statistics Maximum likelihood estimates Maximum likelihood estimation Maximum likelihood method Nonparametric statistics Probability and Statistics in Computer Science Statistical Theory and Methods Statistics Statistics and Computing/Statistics Programs Transplantation Interval-censored data Misclassification NPMLE Directional derivatives
ISSN:	0960-3174, 1573-1375
Online-Zugang:	Volltext
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