Nonparametric regression estimators for length biased data

DOI10.1016/S0378-3758(00)00092-6zbMath0954.62048OpenAlexW2130440327MaRDI QIDQ1582366

J. A. Cristóbal Cristóbal, José T. Alcalá

Publication date: 3 October 2000

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

Full work available at URL: https://doi.org/10.1016/s0378-3758(00)00092-6

zbMATH Keywords

local polynomial smootherslength biased sampling

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (20)

An overview of nonparametric contributions to the problem of functional estimation from biased data ⋮ Wavelet-based estimation of regression function for dependent biased data under a given random design ⋮ Nelson–Aalen and product-limit estimation in selection bias models for censored populations ⋮ Nonparametric Wavelet Regression Based on Biased Data ⋮ Nonparametric regression with doubly truncated data ⋮ Nonparametric confidence bands construction for GLM models with length biased data ⋮ Unnamed Item ⋮ Large sample results under biased sampling when covariables are present. ⋮ Generalized kernel regression estimator for dependent size-biased data ⋮ SiZer for length biased, censored density and hazard estimation. ⋮ Semiparametric Regression in Size-Biased Sampling ⋮ Inferences from biased samples with a memory effect ⋮ Confidence bands in nonparametric regression with biased data ⋮ Estimation of non-parametric regression for dasometric measures ⋮ On Wavelet Estimation of the Derivatives of a Density Based on Biased Data ⋮ Average derivative estimation from biased data ⋮ Nonparametric estimation of a regression function from backward recurrence times in a cross-sectional sampling ⋮ A bootstrap approach to model checking for linear models under length-biased data ⋮ On MISE of a Non linear Wavelet Estimator of the Regression Function Based on Biased Data under Strong Mixing ⋮ Testing regression models with selection-biased data

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