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NL: A Statistical Package for General Nonlinear Regression Problems

  • Conference paper
COMPSTAT

Summary

NL is a statistical package designed for nonlinear regression problems, taking into account the heteroscedasticity of variance, if any. The algorithm for the estimation of the regression parameters is adapted to the topic but it also presents possibilities for future extensions. NL is composed of independent routines, each of them devoted to a statistical task. In the present version, an host system is used to ensure the interface between the user and the routines.

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References

  • Bouvier, A. et al. (1985) “CS_NL: manuel d’utilisation” Technical report. Laboratoire de Biométrie. INRA

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  • Huet, S. & Messean, A. (1986): “A generalization of Gauss-Newton and Gauss-Marquardt algorithms for estimation in exponential families” Technical report. Laboratoire de Biométrie. INRA

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  • Klensin, J. (1980) “The Consistent System” The American Statistician, 34, 3, p 169–176

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  • Messean, A. (1982) “Régions de confiance dans le modèle non-linéaire” Journal de la Société de Statistique de Paris. Vol. 123, 2, p 134, 143.

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  • Ross, G.J. S. (1978): “Exact and approximate confidence regions for functions of parameters in non-linear models” Proceedings in computational statistics, p 110,135. Physica-Verlag WIEN.

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Author information

Authors and Affiliations

  1. Jouy-En-Josas, France

    S. Huet & A. Messéan

Authors
  1. S. Huet
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  2. A. Messéan
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Editor information

Editors and Affiliations

  1. Dipartimento di Statistica, Probabilità e Statistiche applicate, Università degli Studi di Roma „La Sapienza“, Piazzale Aldo Moro, 5, I-00185, Roma, Italy

    F. De Antoni  & A. Rizzi  & 

  2. Dipartimento di Matematica e Statistica, Università degli Studi di Napoli, Via Partenope, 36, I-80121, Napoli, Italy

    N. Lauro

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© 1986 Physica-Verlag, Heidelberg for IASC (International Association for Statistical Computing)

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Cite this paper

Huet, S., Messéan, A. (1986). NL: A Statistical Package for General Nonlinear Regression Problems. In: De Antoni, F., Lauro, N., Rizzi, A. (eds) COMPSTAT. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-46890-2_48

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  • DOI: https://doi.org/10.1007/978-3-642-46890-2_48

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-7908-0355-6

  • Online ISBN: 978-3-642-46890-2

  • eBook Packages: Springer Book Archive

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