Prediction and confidence intervals for nonlinear measurement error models without identifiability information.

DOI10.1016/S0167-7152(02)00141-4zbMath1050.62034OpenAlexW2064467136MaRDI QIDQ1871238

J. T. Gene Hwang, Longcheen Huwang

Publication date: 7 May 2003

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

Full work available at URL: https://doi.org/10.1016/s0167-7152(02)00141-4

zbMATH Keywords

Confidence intervalCoverage probabilityPrediction intervalLoglinear modelExponential modelMeasurement error models

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Parametric tolerance and confidence regions (62F25) General nonlinear regression (62J02)

Related Items (2)

A note on the closed-form identification of regression models with a mismeasured binary regressor ⋮ Likelihood Prediction for Generalized Linear Mixed Models under Covariate Uncertainty

Cites Work

• Instrumental Variable Estimation in Generalized Linear Measurement Error Models
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