A unified approach to estimation of nonlinear mixed effects and Berkson measurement error models

DOI10.1002/cjs.5550350203zbMath1138.62031OpenAlexW2139939331MaRDI QIDQ5442063

Liqun Wang

Publication date: 15 February 2008

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.5550350203

zbMATH Keywords

tableslongitudinal datafixed effectsrandom effectsleast squaresminimum distance estimatorrepeated measurementssimulation-based estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) General nonlinear regression (62J02) Monte Carlo methods (65C05)

Related Items

A weighted simulation-based estimator for incomplete longitudinal data models ⋮ A consistent simulation-based estimator in generalized linear mixed models ⋮ Regressions with Berkson errors in covariates -- a nonparametric approach ⋮ Nonparametric regression estimate with Berkson Laplace measurement error ⋮ A Semiparametric Estimation Approach for Linear Mixed Models

Uses Software

• nlmdl

Cites Work

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