Empirical Density Estimation for Interval Censored Data
DOI:
https://doi.org/10.17713/ajs.v37i1.293Abstract
This paper is concerned with the nonparametric estimation of a density function when the data are incomplete due to interval censoring. The Nadaraya-Watson kernel density estimator is modified to allow description of such interval data. An interactive R application is developed to explore different estimates.
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