Least-squares criterionRandom coefficient dynamic regressionThe random coefficient dynamic regression (RCDR) model develops from random coefficient autoregressive (RCA) model and autoregressive (AR) model. The RCDR model is considered by adding exogenous variables. In this article, the concept of the ...
4.2The Regression Equation Because we could draw many different lines through the cluster of data points,we need a method to choose the “best” line. The method, called the least-squarescriterion, is based on an analysis of the errors made in using a line to fifit the data points. 存在...
the leaste squares criterion 青云英语翻译 请在下面的文本框内输入文字,然后点击开始翻译按钮进行翻译,如果您看不到结果,请重新翻译! 翻译结果1翻译结果2翻译结果3翻译结果4翻译结果5 翻译结果1复制译文编辑译文朗读译文返回顶部 正在翻译,请等待... 翻译结果2复制译文编辑译文朗读译文返回顶部...
At present, the least-squares criterion is the only yardstick for judging which of the many candidate equations is the most appropriate for estimating, through extrapolation of spectral data for a series of homologous oligomers with increasing number of repeat units ($N$), the limiting value of ...
least′ squares′ n. a statistical method of estimating values from a set of observations by minimizing the sum of the squares of the differences between the observations and the values to be found. Also calledleast′-squares′ meth`od. ...
美 英 na.最小平方 英汉 na. 1. 最小平方,最小二乘方
统计学习[The-Elements-of-Statistical-Learning]第四章习题
2.TheLeast-squaresCriterion Themethodofleastsquares:aprocedureexistswhichiscomputationallysimpleandpenalizeslargererrorsrelativelymorethanitpenalizessmallerrors.The“lineofbestfit”issaidtobethatwhichminimizesthesumofthesquareddeviationsofthepointsofthegraphfromthepointsofthestraightline. TheLeast-squares...
Regularization is obtained by solving a constr... CR Vogel - Society for Industrial and Applied Mathematics 被引量: 41发表: 1990年 Modelling the public opinion by the method of x2 «Хi-square criterion» Valette (1982), Generalized non-linear problems solved using the least-squares ...
2.Considerminimizationoftheleastsquarescriterion N i=1 (y i −β 0 −β T x i ) 2 . Showthatthesolution ˆ βsatisfies (N−2) ˆ Σ+ N 1 N 2 N ˆ Σ B β=N(ˆµ 2 −ˆµ 1 ) (aftersimplification),where ˆ Σ B =(ˆµ 2 −ˆµ 1 )(...