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Wahrendorf J. The application of robust non-linear regression methods for fitting hyperbolic Scatchard plots. Int J Biomed Comput. 1979;10(1):75-87doi: 10.1016/0020-7101(79)90043-6.
Wahrendorf, J. (1979). The application of robust non-linear regression methods for fitting hyperbolic Scatchard plots. International journal of bio-medical computing, 10(1), 75-87. https://doi.org/10.1016/0020-7101(79)90043-6
Wahrendorf, J. "The application of robust non-linear regression methods for fitting hyperbolic Scatchard plots." International journal of bio-medical computing vol. 10,1 (1979): 75-87. doi: https://doi.org/10.1016/0020-7101(79)90043-6
Wahrendorf J. The application of robust non-linear regression methods for fitting hyperbolic Scatchard plots. Int J Biomed Comput. 1979 Jan;10(1):75-87. doi: 10.1016/0020-7101(79)90043-6. PMID: 478689.
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Int J Biomed Comput. 1979 Jan;10(1):75-87. doi: 10.1016/0020-7101(79)90043-6.

The application of robust non-linear regression methods for fitting hyperbolic Scatchard plots.

International journal of bio-medical computing

J Wahrendorf

PMID: 478689 DOI: 10.1016/0020-7101(79)90043-6

Abstract

The Scatchard plot is an essential tool for the estimation of binding parameters in biochemistry. In certain situations the fitting of a hyperbolic line is required in this context. It is proposed to solve this non-linear regression problem by robust methods. A method according to Huber and Dutter (1974) is outlined and its good applicability is demonstrated.

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