SiZer for length biased, censored density and hazard estimation.

DOI10.1016/S0378-3758(02)00506-2zbMath1040.62026MaRDI QIDQ1427804

James Stephen Marron, Jacobo de Uña-Álvarez

Publication date: 14 March 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Mathematics Subject Classification ID

Density estimation (62G07) Graphical methods in statistics (62A09)

Related Items (10)

Product-limit estimation for length-biased censored data. ⋮ Graphical goodness-of-fit test for mortality models ⋮ SiZer Inference for Varying Coefficient Models ⋮ Nonparametric estimation of a log-variance function in scale-space ⋮ Nonparametric density estimation in presence of bias and censoring ⋮ Statistical Scale Space Methods ⋮ Theoretical investigation of an exploratory approach for log-density in scale-space ⋮ Kernel density estimation with doubly truncated data ⋮ An exploratory data analysis in scale-space for interval-valued data ⋮ On Wavelet Estimation of the Derivatives of a Density Based on Biased Data

Uses Software

• SiZer

Cites Work

• Unnamed Item
• The estimation of the hazard function from randomly censored data by the kernel method
• Empirical distributions in selection bias models
• Density and hazard rate estimation for censored data via strong representation of the Kaplan-Meier estimator
• Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
• Nonparametric estimation in the presence of length bias
• On the least squares cross-validation bandwidth in hazard rate estimation
• On multivariate kernel estimation for samples from weighted distributions
• Nonparametric regression estimators for length biased data
• Scale space view of curve estimation.
• Product-limit estimation for length-biased censored data.
• Nonparametric Estimation from Incomplete Observations
• A comparioson of nonparametric unweighited and length-biased density estimation of fibres
• Kernel density estimation for length biased data
• Bootstrap Selection of the Smoothing Parameter in Nonparametric Hazard Rate Estimation
• Transformation- based density estimation For weighted distributions
• SiZer for Exploration of Structures in Curves
• Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths
• Estimating a distribution function with truncated data

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