例如，直角三角形斜边的平方，等于其它两边的平方和。
For example the square on hypotenuse of a right Angle triangle is equal to the sum of the squares of the other two sides.
或者我应该说,误差的平方和，这是什么意思？
Or maybe I should say total square deviation instead. What do I mean by this?
清单13说明了按照CICE如何计算平方和。
Listing 13 shows what the sum of squares code would look like under CICE.
例如，装配公差等于单个公差的平方和的平方根。
An example is: the assembly tolerance is equal to the square root of the sum of the squares of the individual tolerances.
要找到最切合的直线，就是要使，这些距离的平方和最小。
To get the best fitting line, you find the line that minimizes the sum of squared distances.
计算观察数据拟合每个竞争模型的剩余平方和及自由度；
Caloulating the residue sun of square and degree of freedom under each of fitted models.
我接下来要求b的平方和h的平方,的和的平方根对不对？
I want to then do, I need to find the square root b squared plus h squared, right?
应用矩阵理论，对组合预测误差平方和的取值范围进行了研究。
This paper aims at discussing the value range of combination forecasting error square sum with matrix theory.
第二部分，考察盈余公告前的R平方和超额累计收益率的关系。
Using data around earnings announcement in Chinese market, this paper explores the topic about R square around earnings announcement.
残差平方和的减少在各种场合有所不同，但呈现出一定的规律性。
The reduction appears some regularity in spite of it's variation in various situation.
引用矩阵的有关理论，给出了平方和分解式中二次型秩数的计算方法。
By introducing theories of matrix, this paper presents a calculation method for the rank of the quadratic form in quadratic sum resolution.
请注意即使我们有四个非0振幅，这些振幅绝对值的平方和总能达到1。
Note that even though we have four non-zero amplitudes, the sum of the squares of the absolute values of the amplitudes always adds up to one.
最小二乘法估算出的模型参数在预报误差平方和最小的条件下是最优解。
The estimated parameters using RLS procedure are the optimum solution based on the condition that the sum of square of the forecasted errors is the minimum.
高斯选的这条线，所有点距离这条直线的平方和，是所有直线中最小的。
He chose the line so that — this is Gauss — he chose the line to minimize the sum of squared distances of the points from the lines.
但是实际需要的是使频率偏差的绝对值最小而不是频率偏差的平方和最小。
However we want to get the least absolute value of frequency deviation not the least square sum of it.
利用BIC准则及残差平方和最小原则得到振梁加速度计的最佳误差模型。
The rules of BIC and minimum residual sum of squares are used to gain the optimum error model.
本文提出了基于预测平方和(PRESS)准则选取预报因子的逐步算法。
In this paper, the stepwise algorithm for selecting predictors on the basis of the criterion from prediction sum of squares (PRESS) are discussed.
以双因素协方差分析为例，介绍如何用代数中投影的方法进行离差平方和分解。
Take the two-factor covariance analysis for example, the projection method is used to decompose the derivate square.
而广义移动最小二乘近似要求近似函数及其导数在所有节点处的误差的平方和最小。
However, the generalized moving least squares approximation makes require least squares approximation with regard to functional and its derivative value on all nodes.
本文从各种距离之间的关系来对重心法、类平均法及离差平方和法作一些分析比较。
By making an analysis of different relations of distance, method of gravity center, method of mean value of class and method of sum of squares of deviations are compared in this paper.
而且，针对无监督图像分割的模型选择问题提出了带惩罚项的误差平方和阶次判定准则。
Furthermore, in order to solve the model selection problems of unsupervised image segmentation, the sum of squared error criterion with penalty term is proposed.
结果按照准则选择了最长距离法和离差平方和法为较好的二维有序样品的条件系统聚类法。
Results The complete linkage method and the Ward's method were compared to be the good methods for this kind of data .
对拟合方程进行方差分析并在此基础上利用偏拟合平方和的检验确定拟合多项式的最佳阶数。
The optional polynomial order is selected through the test of the partial fitting square sum on the basis of the variance analysis of the fitting equation.
如果将能谱实验数据的对数拟合成直线以求得粒子温度，则最好对温度误差的平方和极小化。
However, if a straight line is fitted for logarithmic spectrum data to give the particle temperature, it is better to minimize the temperature square error sum.
在一般情况下，对目标函数为极小化完工时间平方和与极小化总误工数问题分别给出了最优算法。
For the general case, optimal algorithms are presented respectively for minimizing the sum of quadratic completion times and the number of tardy jobs.
通过误差平方和的比较，确定利用基于输出误差（OE）模型的预报误差法所建立的模型的精度最高。
Through comparing their sums of squared error, it was concluded that prediction error algorithm-based OE model has the best precision.
将偏回归平方和理论运用到影响煤炭需求量预测指标的选取中，确定了影响煤炭需求量预测的主要指标。
This paper applied the theory of partial regression square sum into selecting the main prediction indexes which influence the coal demand.
将偏回归平方和理论运用到影响煤炭需求量预测指标的选取中，确定了影响煤炭需求量预测的主要指标。
This paper applied the theory of partial regression square sum into selecting the main prediction indexes which influence the coal demand.
应用推荐