A new estimation procedure for a partially nonlinear model via a mixed‐effects approach

DOI10.1002/CJS.5550350305zbMath1132.62013OpenAlexW2093829185MaRDI QIDQ5449241

Lei Nie, Run-Ze Li

Publication date: 11 March 2008

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

Full work available at URL: https://doi.org/10.1002/cjs.5550350305

zbMATH Keywords

partially linear modelpartially nonlinear modelnonlinear mixed-effects model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to environmental and related topics (62P12) Point estimation (62F10) General nonlinear regression (62J02)

Related Items (12)

Estimation of parameters of partially sinusoidal frequency model ⋮ Empirical Likelihood for Partially Non Linear Models with Missing Response Variables at Random ⋮ Estimation and inference for additive partially nonlinear models ⋮ Variable selection in measurement error models ⋮ Empirical likelihood-based inference for parameter and nonparametric function in partially nonlinear models ⋮ Robust estimation via modified Cholesky decomposition for modal partially nonlinear models with longitudinal data ⋮ Efficient Statistical Inference Procedures for Partially Nonlinear Models and their Applications ⋮ Testing serial correlation for partially nonlinear models ⋮ Two-stage estimation and simultaneous confidence band in partially nonlinear additive model ⋮ Empirical likelihood dimension reduction inference for partially non-linear error-in-responses models with validation data ⋮ Checking nonparametric component for partially nonlinear model with missing response ⋮ A robust and efficient estimation method for partially nonlinear models via a new MM algorithm

Uses Software

• nlmdl

Cites Work

• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• An elementary estimator of the partial linear model
• Quasi-likelihood Estimation in Semiparametric Models
• Goodness-of-Fit Tests for Parametric Regression Models
• Efficient Estimation and Inferences for Varying-Coefficient Models
• Asymptotic Properties of Non-Linear Least Squares Estimators
• New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
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