Thedata are fitted to the integral, differential and exothermic rate equations by linear least-squares, iterative, combined dichotomous and least-squares methods, respectively.
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。
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.
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。
Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things.
Meschach可以解稠密或稀疏线性方程组、计算特征值和特征向量和解最小平方问题，另外还有其它功能。
If there appears to be a linear relationship test results should be established by appropriate statistical methods (e. g. by calculation of a regression line by the method of least squares).
如果其呈现线性关系，测试结果应该通过适当的统计学方法(例如，以最小二乘方来计算回归线)来确立。
This article researches the coefficient estimating problem of the linear regression model and the math analysis foundation of the least squares estimation applying in the coefficient estimating.
本文研究了线性回归模型中的参数估计问题，运用最小二乘法进行参数估计的数学分析基础。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
This paper mainly discusses the least squares problem of complex symmetric matrices on a linear manifold.
本文主要讨论了线性流形上复对称矩阵的最小二乘问题。
In this paper, a method of operational matrix of differentiation is introduced in the identification of coefficients of linear distributed system by using Chebyshev series and least squares.
本文提出一种微分运算矩阵法，通过切比雪夫级数和最小二乘法辨识线性分布参数系统的参数。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.
线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
In linear regression, the least squares estimation is heavily innuenced with outlyers.
在线性回归中，常用最小二乘估计求线性方程的回归系数。
Generally, a linear least squares problem leads to ihc solution of the so called normal equation.
解线性最小二乘问题时，通常都要解所谓正规方程。
A new arithmetic approach to the target identification of lidar range image was introduced by using the least squares estimation and linear glide updater for the design of a filter.
针对激光雷达一维距离像的目标识别，提出了利用最小二乘估计器和线性滑动更新器构造滤波器的算法。
It is to meet the shortfall of least squares linear coefficients method, gain the information of periodic system error, and improve the precision of electric eddy sensor.
该方法弥补了线性系数最小二乘法的不足，获得了周期性系统误差的信息，提升了电涡流传感器的精度。
Non-linear least squares bundle adjustment is used to process the images from CCD earth sensor, consequently, the vector observation function of CCD earth sensor is achieved on lunar environment.
该算法利用非线性最小二乘平差原理对CCD地球敏感器成像进行处理，实现了在月球表面CCD地球敏感器的矢量观测功能。
The strong interrelationship among exterior elements of linear pushbroom imagery induces normal equation severely ill-posed and least squares value deviated from the true value.
线阵推扫式影像外方位元素间的强相关性，导致法方程病态，外方位元素的最小二乘估计值误差较大。
A new method for designing linear phase FIR digital filter with fixed-point coefficients based on the peak-constrained least-squares criterion is proposed in this paper.
基于峰值约束最小平方优化标准，提出了一种用于设计线性相位定点系数FIR数字滤波器的新方法。
There two extracting strategies in this thesis: (1) Transform the device characteristics equation to linear form and use "least squares fit" method to extract relevant parameters.
本文主要采用了两种参数提取方法：(1)将器件特性方程线性化，用最小二乘法提取相应参数。
Linear regression analysis (the least squares method) is one technique for estimation a line of best fit.
线形回归分析(最小二乘法)是一向估算最优拟和线的技术。
Measured in the least squares adjustment of the function model to solve problems, eventually reduced to the problem of linear equations.
在最小二乘测量平差的函数模型求解问题中，最后都归结为线性方程组的求解问题。
By introducing the micro-disposal method and the iterative algorithm, we can use the least squares approach to solve the nonlinear equations progressively by a series of linear equations.
通过引入微处理方法和迭代算法，我们可以用最小二乘法求解非线性方程逐步由一系列线性方程组。
This paper presents new development of parameter identification for MIMO discrete stochastic linear systems with random parameters based on the least squares method.
本文讨论了参数估计和输出误差的收敛性，并给出了系统持续激励的一个充分条件。
We cast these ranging measurements as a set of distance constraints, thus forming an over-determined system of equations suitable for non-linear least squares optimization.
我们将这些距离测量看作距离限制集，从而构成一个超定的系统方程，适用于最优非线性最小二乘。
The original spectrum is processed by using first derivative, and applying Partial Least-Squares method to set up linear mathematical model.
采用一阶导数方法对光谱进行预处理；利用偏最小二乘法建立模型。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
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。
Non-Linear Least Squares were used to estimate the exponential time model.
非线性最小二乘法用于估算指数时间模型。
Based on the traditional DBS (Doppler Beam Sharpening) method and the least squares linear fitting algorithm, a new high resolution DBS imaging algorithm is delivered in this paper.
该文分析了应用于扫描模式下的传统多普勒波束锐化成像算法(DBS)及其改进算法的特点和不足，提出一种新的高分辨率多普勒锐化算法。
Based on the traditional DBS (Doppler Beam Sharpening) method and the least squares linear fitting algorithm, a new high resolution DBS imaging algorithm is delivered in this paper.
该文分析了应用于扫描模式下的传统多普勒波束锐化成像算法(DBS)及其改进算法的特点和不足，提出一种新的高分辨率多普勒锐化算法。
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