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结合研究中参数的不确定性评估：平方和轮廓法与蒙特卡罗估计

Evaluation of uncertainties for parameters in binding studies: the sum-of-squares profile and Monte Carlo estimation.

作者信息

Saroff H A

机构信息

Laboratory of Biochemical Pharmacology, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.

出版信息

Anal Biochem. 1989 Jan;176(1):161-9. doi: 10.1016/0003-2697(89)90287-x.

DOI:10.1016/0003-2697(89)90287-x
PMID:2712286
Abstract

Methods for characterization and evaluation of uncertainties in the parameter values for binding experiments are presented. A sum-of-squares profile is defined and illustrated. Sum-of-squares profiles give a qualitative description of both the uncertainties and correlation of parameters. The Monte Carlo method is developed as an accurate means of evaluating uncertainties in parameter values for nonlinear models. Examples are given for both actual and synthetic data.

摘要

本文介绍了结合实验中参数值不确定性的表征和评估方法。定义并说明了平方和轮廓。平方和轮廓对参数的不确定性和相关性进行了定性描述。蒙特卡罗方法被开发为一种评估非线性模型参数值不确定性的精确手段。文中给出了实际数据和合成数据的示例。

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