Nicol R, Smith P, Raggatt P
Comput Biomed Res. 1985 Aug;18(4):334-46. doi: 10.1016/0010-4809(85)90012-6.
This paper describes a suite of robust logit-log optimization routines for the fitting of a linear relation to laboratory data. The microcomputer routines assign a weighting value to each data point corresponding to the relative importance of that point. This procedure ensures that the routines identify and deal with any outlying data points. The routines are designed to generate the results of both a standard, unweighted least-squares algorithm and a robust, weighted algorithm thus providing the laboratory analyst with invaluable information concerning the data and the fitted relation. The routines are thoroughly tested on "perfect" and perturbed laboratory data.
本文描述了一套稳健的逻辑对数优化程序，用于将线性关系拟合到实验室数据。微机程序为每个数据点分配一个权重值，该权重值对应于该点的相对重要性。此过程可确保程序识别并处理任何异常数据点。这些程序旨在生成标准的、未加权最小二乘法算法和稳健的加权算法的结果，从而为实验室分析人员提供有关数据和拟合关系的宝贵信息。这些程序在“完美”和受干扰的实验室数据上进行了全面测试。
