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Total least squares fitting Michaelis-Menten enzyme kinetic model function

机译:总最小二乘拟合Michaelis-Menten酶动力学模型函数

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The Michaelis-Menten enzyme kinetic model f(x; a, b) = ax/(b + x), a, b > 0, is widely used in biochemistry, pharmacology, biology and medical research. Given the data (p(i), x(i), y(i)), i = 1, m, m >= 3, we consider the total least squares (TLS) problem for the Michaelis-Menten model. We show that it is possible that the TLS estimate does not exist. As the main result, we show that the TLS estimate exists it' the data satisfy some natural conditions. Some numerical examples are included. (c) 2006 Elsevier B.V. All rights reserved.
机译:Michaelis-Menten酶动力学模型f(x; a,b)= ax /(b + x),a,b> 0,广泛用于生物化学,药理学,生物学和医学研究。给定数据(p(i),x(i),y(i)),i = 1,m,m> = 3,我们考虑Michaelis-Menten模型的总最小二乘(TLS)问题。我们表明,TLS估计可能不存在。作为主要结果,我们证明了TLS估计的存在是因为数据满足一些自然条件。包括一些数值示例。 (c)2006 Elsevier B.V.保留所有权利。

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