Bias correction and improved residuals for non-exponential family nonlinear models

DOI10.1080/03610929508831547zbMath0850.62492OpenAlexW2064053379MaRDI QIDQ4883439

Gilberto A. Paula, Gauss M. Cordeiro

Publication date: 4 July 1996

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929508831547

zbMATH Keywords

correction factornonlinear modelsresidualsbias correctiondeviancedispersion parameterLog-gamma model

Mathematics Subject Classification ID

Point estimation (62F10) General nonlinear regression (62J02)

Related Items

Corrected maximum-likelihood estimation in a class of symmetric nonlinear regression models ⋮ Applied regression analysis bibliography update 1994-97

Cites Work

• The unifying role of iterative generalized least squares in statistical algorithms. With comments by Bent Jørgensen, Peter McCullagh, Joe R. Hill and a rejoinder by the author
• Bias correction for exponential family nonlinear modles
• The Delta Algorithm and GLIM
• Bias Correction for a Generalized Log-Gamma Regression Model
• Estimation, large-sample parametric tests and diagnostics for non-exponential family nonlinear models
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