sum of squares

基本解釋

An example shows that with the method of determining the order based on local residual sum of squares in AR(p), the precision of forecast values increases.
實(shí)例表明：對(duì)自回歸模型進(jìn)行定階時(shí)，運(yùn)用局部殘差平方和的定階方法，能有效地提高自回歸模型的預(yù)測(cè)精度。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
即把一元非線性回歸和多元線性回歸結(jié)合起來，構(gòu)造一個(gè)混合回歸模型，這樣就減小了模型的殘差平方和，從而提高預(yù)報(bào)的準(zhǔn)確性。
In this paper, a new method (called"minimum sum of squares of weighted error") is proposed to realize the optimum delay estimation even with a short filter in the domain of higher order cumulants.
提出了一種可在相關(guān)高斯噪聲中，只要較少的濾波器權(quán)長就能對(duì)非高斯信號(hào)的時(shí)延進(jìn)行估計(jì)的新方法，稱為最小權(quán)值誤差平方和法。

平方和
To compare the validity of settlement prediction with different principia,superior combination forecasting based on forecasting effective measure is much better than the traditional combination forecasting,which modeled on the minimal value of error sum of squares or the deviation absolute sum.
不同機(jī)理的沉降預(yù)測(cè)方法組合時(shí),以誤差的平方和或離差絕對(duì)值之和最小為準(zhǔn)則的組合預(yù)測(cè)不一定能如實(shí)地反映其有效性。
數(shù)學(xué)
離差平方和