Some asymptotic inference in multinomial nonlinear models (a geometric approach)

DOI10.1007/BF02664796zbMath0881.62025MaRDI QIDQ1815737

Bo-Cheng Wei

Publication date: 12 December 1996

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

zbMATH Keywords

variancestochastic expansioninformation lossobserved informationcurvature arraymultinomial nonlinear models

Mathematics Subject Classification ID

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

Related Items (1)

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

Cites Work

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• The geometry of exponential families
• Defining the curvature of a statistical problem (with applications to second order efficiency)
• The geometry of asymptotic inference. With comments and a rejoinder by the author
• Quasi-likelihood functions
• 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
• Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
• Optimal significance procedures for simple hypotheses
• Linear Statistical Inference and its Applications

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