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将曲线拟合到生理数据。

Fitting curves to physiological data.

作者信息

Verma S S, Gupta R K, Rai R M

出版信息

Indian J Physiol Pharmacol. 1983 Jan-Mar;27(1):61-4.

PMID:6852890
Abstract

This paper deals with fitting of a parabola and three parameter logistic curve to relate heart output and initial index finger temperature with ambient temperature in human subjects. The coefficients of determination (R2%) between observed and estimated values of heat output and initial index finger temperature were close to 98% indicating the high percentage of variation of the total sum of squares absorbed by the fit of the curves. The superiority of the fitted curves over the other curves have been proved. Thus it is concluded that parabola and three parameter logistic curve may explain the relationships of heat output and initial index finger temperature with ambient temperature more precisely than other curves.

摘要

本文探讨了用抛物线和三参数逻辑曲线拟合人体心输出量及初始食指温度与环境温度之间的关系。心输出量和初始食指温度的观测值与估计值之间的决定系数(R²%)接近98%,这表明曲线拟合吸收的总平方和变化百分比很高。已证明拟合曲线优于其他曲线。因此可以得出结论,抛物线和三参数逻辑曲线比其他曲线能更精确地解释心输出量和初始食指温度与环境温度之间的关系。

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