Asymptotic Normality of Nonparametric Z-estimators with Applications to Hypothesis Testing for Panel Count Data

DOI10.5705/SS.202014.0021zbMath1362.62083OpenAlexW2578600315WikidataQ64214520 ScholiaQ64214520MaRDI QIDQ2977537

Xingqiu Zhao, Ying Zhang

Publication date: 18 April 2017

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202014.0021

zbMATH Keywords

asymptotic normalitysplinenonparametric maximum likelihoodnonparametric maximum pseudo-likelihoodnonparametric tests\(M\)-estimators

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Nonparametric robustness (62G35) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Nonparametric inference for reversed mean models with panel count data ⋮ Nonparametric Estimation and Testing for Panel Count Data with Informative Terminal Event ⋮ Sieve estimation of semiparametric accelerated mean models with panel count data

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