Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models

DOI10.1145/151271.151279zbMath0889.65149OpenAlexW1995637470WikidataQ113310544 ScholiaQ113310544MaRDI QIDQ4371525

David S. Bunch, David M. Gay, Roy E. Welsch

Publication date: 25 January 1998

Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)

Full work available at URL: http://www.acm.org/pubs/contents/journals/toms/1993-19/

zbMATH Keywords

nonlinear modelsmaximum likelihoodregressiontest examplesnonlinear least squaresGauss-Newtonrobust fittingmaximum quasi-likelihoodstatistical parameter estimationmodel/trust-region scheme

Mathematics Subject Classification ID

Point estimation (62F10) General nonlinear regression (62J02) Packaged methods for numerical algorithms (65Y15) Probabilistic methods, stochastic differential equations (65C99)

Related Items (8)

Parameter estimation and sensitivity analysis of fat deposition models in beef steers using acslXtreme ⋮ A nonlinear optimization approach to the construction of general linear methods of high order ⋮ Using mathematical programming to compute singlular multivariate normal probablities ⋮ Conditional p-values for the F-statistic in a forward selection procedure ⋮ Learning Declarative Bias ⋮ Inductive process modeling ⋮ nlr ⋮ Exploiting structure in the construction of DIMSIMs

Uses Software

• NL2SOL

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