Dependence measure for length-biased survival data using kernel density estimation with a regression procedure
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Publication:3390473
DOI10.1080/00949655.2021.1938050OpenAlexW3177420737MaRDI QIDQ3390473
Mayer Alvo, Rachid Bentoumi, M'hamed Mesfioui
Publication date: 24 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2021.1938050
Measures of association (correlation, canonical correlation, etc.) (62H20) Statistics (62-XX) Fuzziness, and survival analysis and censored data (62N86)
Uses Software
Cites Work
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- Convergence systems and strong consistency of least squares estimates in regression models
- The weighted bootstrap
- An informational measure of correlation
- A comparioson of nonparametric unweighited and length-biased density estimation of fibres
- Kernel density estimation for length biased data
- Covariate Bias Induced by Length-Biased Sampling of Failure Times
- Information gain and a general measure of correlation
- Measures of dependence for censored survival data
- Multiplicative censoring, renewal processes, deconvolution and decreasing density: Nonparametric estimation
- Nonparametric Estimation from Cross-Sectional Survival Data
- Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families
- Length-Biased Sampling With Right Censoring
- Length-bias: some characterizations and applications
- On estimation and diagnostics analysis in log-generalized gamma regression model for interval-censored data
- On Information in Statistics
- On Information and Sufficiency
- A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up
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