Abstract
We define nonparametric kernel-type estimators of the conditional distribution of a lifetime, in a random censorship framework. We show that these estimators have closed-form expressions, and establish their strong uniform consistency under minimal assumptions.
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Deheuvels, P., Derzko, G. (2007). Uniform Consistency for Conditional Lifetime Distribution Estimators Under Random Right-Censorship. In: Auget, JL., Balakrishnan, N., Mesbah, M., Molenberghs, G. (eds) Advances in Statistical Methods for the Health Sciences. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4542-7_13
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DOI: https://doi.org/10.1007/978-0-8176-4542-7_13
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-4368-3
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