Bandwidth selection in density estimation with truncated and censored data

DOI10.1023/A:1003879001416zbMath0928.62032OpenAlexW2048843747WikidataQ61849354 ScholiaQ61849354MaRDI QIDQ1300757

V. Pereyra

Publication date: 11 January 2000

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1003879001416

zbMATH Keywords

kernel estimatoralmost sure representationleft truncation-right censoringLTRC model

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (13)

Nonparametric analysis of aggregate loss models ⋮ Bandwidth selection for kernel density estimation with doubly truncated data ⋮ Local polynomial smoothing based on the Kaplan-Meier estimate ⋮ Asymptotic properties of the kernel mode estimator under twice censorship model ⋮ Parametrically guided nonparametric density and hazard estimation with censored data ⋮ CDF and survival function estimation with infinite-order kernels ⋮ Relative deficiency of quantile estimators for left truncated and right censored data ⋮ Asymptotic-based bandwidth selection for the presmoothed density estimator with censored data ⋮ Reduced bias nonparametric lifetime density and hazard estimation ⋮ Presmoothed estimation of the density function with truncated and censored data ⋮ A plug-in bandwidth selector for nonparametric quantile regression ⋮ Comparison of presmoothing methods in kernel density estimation under censoring ⋮ Presmoothed Estimation with Left-Truncated and Right-Censored Data

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