nlmdl: Instructions for obtaining, A C++ implementation of statistical methods in A. Ronald Gallant’s, ”Nonlinear Statistical Models”. The program computes least squares estimates for a univariate nonlinear regression model and generalized least squares estimates for a multivariate nonlinear regression model. Use the SUR option for both. Other options can be set to correct variance estimates for heteroskedasticity and/or serial correlation. For simultaneous nonlinear systems, possibly in implicit form, it computes three-stage least-squares estimates, TSLS option, and for nonlinear dynamic systems, possibly in implicit form, generalized method-of-moments estimates, GMM option.

References in zbMATH (referenced in 121 articles , 1 standard article )

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  1. Chan, Kin Wai: Optimal difference-based variance estimators in time series: a general framework (2022)
  2. Gallant, A. Ronald; Hong, Han; Leung, Michael P.; Li, Jessie: Constrained estimation using penalization and MCMC (2022)
  3. Huo, Lijuan; Cho, Jin Seo: Testing for the sandwich-form covariance matrix of the quasi-maximum likelihood estimator (2021)
  4. Türkşen, Özlem: A novel perspective for parameter estimation of seemingly unrelated nonlinear regression (2021)
  5. Dufour, Jean-Marie; Trognon, Alain; Tuvaandorj, Purevdorj: Invariant tests based on (M)-estimators, estimating functions, and the generalized method of moments (2017)
  6. Magnussen, S.; Frazer, G.; Penner, M.: Alternative mean-squared error estimators for synthetic estimators of domain means (2016)
  7. Bravo, Francesco: Semiparametric estimation with missing covariates (2015)
  8. Christou, Vasiliki; Fokianos, Konstantinos: Estimation and testing linearity for non-linear mixed Poisson autoregressions (2015)
  9. Dahlquist, Kam D.; Fitzpatrick, Ben G.; Camacho, Erika T.; Entzminger, Stephanie D.; Wanner, Nathan C.: Parameter estimation for gene regulatory networks from microarray data: cold shock response in \textitSaccharomycescerevisiae (2015)
  10. da Silva e Souza, Geraldo; Gomes, Eliane Gonçalves: Management of agricultural research centers in Brazil: a DEA application using a dynamic GMM approach (2015)
  11. Döring, Maik; Jensen, Uwe: Smooth change point estimation in regression models with random design (2015)
  12. Vaidya, Naveen K.; Wahl, Lindi M.: Avian influenza dynamics under periodic environmental conditions (2015)
  13. Karami, Jamil Hasan; Wiens, Douglas P.: Robust static designs for approximately specified nonlinear regression models (2014)
  14. Aşıkgil, Barış; Erar, Aydın: Polynomial tapered two-stage least squares method in nonlinear regression (2013)
  15. Azzimonti, Laura; Ieva, Francesca; Paganoni, Anna Maria: Nonlinear nonparametric mixed-effects models for unsupervised classification (2013)
  16. Banks, H. T.; Kapraun, D. F.; Thompson, W. Clayton; Peligero, Cristina; Argilaguet, Jordi; Meyerhans, Andreas: A novel statistical analysis and interpretation of flow cytometry data (2013)
  17. Gospodinov, Nikolay; Kan, Raymond; Robotti, Cesare: Chi-squared tests for evaluation and comparison of asset pricing models (2013)
  18. Amaran, Satyajith; Sahinidis, Nikolaos V.: Global optimization of nonlinear least-squares problems by branch-and-bound and optimality constraints (2012)
  19. Banks, H. T.; Kenz, Zackary R.; Thompson, W. Clayton: An extension of RSS-based model comparison tests for weighted least squares (2012)
  20. Farnoosh, R.; Ghasemian, J.; Fard, O. Solaymani: Integrating ridge-type regularization in fuzzy nonlinear regression (2012)

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