Some asymptotic inference on nonlinear models with random effects (a geometric approach)

DOI10.1007/S11766-998-0023-5zbMath0913.62056OpenAlexW2322155688MaRDI QIDQ1272729

Bo-Cheng Wei, Xu-Ping Zhong

Publication date: 10 June 1999

Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11766-998-0023-5

zbMATH Keywords

random effectsstochastic expansioninformation losscurvature array

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) General nonlinear regression (62J02)

Related Items (1)

Testing for varying dispersion in discrete exponential family nonlinear models

Cites Work

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• Differential geometry of curved exponential families. Curvatures and information loss
• Differential-geometrical methods in statistics
• Geometrical theory of asymptotic ancillarity and conditional inference
• SOME SECOND ORDER ASYMPTOTICS IN NONLINEAR REGRESSION
• Approximate Inference in Generalized Linear Mixed Models
• Optimal significance procedures for simple hypotheses

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