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Asymptotically Normal Explicit Estimation of Parameters in the Michaelis–Menten Equation

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Abstract

Under consideration is the problem of estimating unknown parameters in the Michaelis–Menten equation which is frequent in natural sciences. The authors suggest and study asymptotically normal explicit estimates of unknown parameters which often have a minimal covariance matrix.

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Authors and Affiliations

  1. Sobolev Institute of Mathematics, Novosibirsk

    Yu. Yu. Linke

  2. Universidad Autonoma Metropolitana–Iztapalapa, Mexico

    A. I. Sakhanenko

Authors
  1. Yu. Yu. Linke
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  2. A. I. Sakhanenko
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Linke, Y.Y., Sakhanenko, A.I. Asymptotically Normal Explicit Estimation of Parameters in the Michaelis–Menten Equation. Siberian Mathematical Journal 42, 517–536 (2001). https://doi.org/10.1023/A:1010475226779

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