Smooth estimation of survival and density functions for a stationary associated process using Poisson weights

DOI10.1016/j.spl.2010.10.010zbMath1270.62067OpenAlexW1980023084MaRDI QIDQ625015

Yogendra P. Chaubey, Jun Li, Isha Dewan

Publication date: 11 February 2011

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2010.10.010

zbMATH Keywords

strong consistencysurvival functionsassociated sequenceHille's theoremtransformation density estimator

Mathematics Subject Classification ID

Related Items (9)

Wavelet linear density estimation for associated stratified size-biased sample ⋮ Wavelet-based estimation of regression function for dependent biased data under a given random design ⋮ Berry-Esséen bound of sample quantiles for negatively associated sequence ⋮ Asymptotic results for truncated-censored and associated data ⋮ Kernel regression estimation for LTRC and associated data ⋮ An Asymmetric Kernel Estimator of Density Function for Stationary Associated Sequences ⋮ Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” ⋮ On some smooth estimators of the quantile function for a stationary associated process ⋮ Convergence rate of the kernel regression estimator for associated and truncated data

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