用线性最小二乘法、迭代法以及二分法与最小二乘法相结合的方法，以积分方程、微分方程和放热速率方程拟合dsc数据。
The DSC data obtained are fitted to the integral, differential and exothermic rate equations by linear least-squares, iterative, combined dichotomous and least-squares methods, respectively.
经实验验证和测试表明，分辨力达5位，最小二乘法拟合线性度优于0.005%。
Verifying test indicates that its resolution is better than 5 digits, and linearity referenced to Method of Least Square better than 0.005%.
该法用线性最小二乘法、迭代法以及二分法与最小二乘法相结合的方法，以积分方程、微分方程和放热速率方程拟合实验数据。
Thedata are fitted to the integral, differential and exothermic rate equations by linear least-squares, iterative, combined dichotomous and least-squares methods, respectively.
最小二乘法在化工中广泛用于数据拟合的线性和非线性回归及模型参数估值。
The least square method is popularly used in linear and non-linear regressions for data fitting and estimating model parameters.
高度数据的激光测量装置也采用线性最小二乘法和倾斜角度是从梯度的线性拟合数据。
The height data of laser measurement were also linear fitted using the least-squares method and tilt Angle was obtained from the gradient of the linear fitted data.
高度数据的激光测量装置也采用线性最小二乘法和倾斜角度是从梯度的线性拟合数据。
The height data of laser measurement were also linear fitted using the least-squares method and tilt Angle was obtained from the gradient of the linear fitted data.
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