Second‐order inference for generalized least squares

DOI10.2307/3314858zbMath0614.62004OpenAlexW1971717599MaRDI QIDQ4721368

Hélène Massam, Donald A. S. Fraser

Publication date: 1987

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

Full work available at URL: https://doi.org/10.2307/3314858

zbMATH Keywords

confidence regionsgeneralized least squaresconditionality principletests of significancesurface curvatureFisher-von Misesgeneralized regression modelrotationally symmetric distributionsecond-order inferencevon Mises-type angular departure

Mathematics Subject Classification ID

Multivariate analysis (62H99) Foundations and philosophical topics in statistics (62A01) General nonlinear regression (62J02)

Cites Work

• Accounting for intrinsic nonlinearity in nonlinear regression parameter inference regions
• Parameter transformations for improved approximate confidence regions in nonlinear least squares
• Differential geometry of curved exponential families. Curvatures and information loss
• DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS
• Conditionality resolutions
• The Bayesian estimation of common parameters from several responses
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