必应词典为您提供least-square-method的释义,un. 最小二法; 网络释义: 最小二乘法;最小平方法;
一、最小二乘法(Least Square Method) 1.1 线性回归概念【转自百度百科】 线性回归是利用数理统计中回归分析,来确定两种或两种以上变量间相互依赖的定量关系的一种统计分析方法,运用十分广泛。其表达形式为y=wx+εy=wx+ε,εε为误差服从均值为0的正态分布。 在统计学中,线性回归(Linear Regressi...
最小二乘法 least square method 最小二乘法(又称最小平方法)是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据,并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化...
least square adjustment method 美 英 un.最小二乘方法 英汉 un. 1. 最小二乘方法 例句 释义: 全部,最小二乘方法 更多例句筛选 1. Least Square Adjustment Method for Processing Marine Gravity and Geomagnetic Data 海洋重磁资料的最小二乘平差处理方法 scholar.ilib.cn隐私...
简单来说，一堆分散数据中可以找出一条拟合直线，用统计软件可求出这条直线方程，使每个原始数据到这条直线的距离平方和最小，即残差平方和最小，残差是指真实值与拟合值之差。这种方法就是最小二乘法。本人学Statistics的。抱歉~SAS程序设计还没学到，如果是要找出拟合方程，用EVIEWS软件就可以做到了...
Multivariate least-square method applied to the quantitative spectral analysis of wheat floursJaana SorvaniemiArvo KinnunenYrjö Mälkki
展开 关键词: least squares approximations radionavigation sensor fusion data fusion data processing least-square method mixed navigation system multipositioning system vehicle setting accuracy Base stations 会议名称: Workshop on Computational Intelligence & Industrial Application 会议...
A method of processing zero drift data was proposed to solve the problem of zero drift existing in the measured penetration overload data.Based on the method of empirical mode decomposition to extract the signal trend term,the zero drift trend after penetration was employed as the trend during ...
Moving least-square (MLS) is an approximation method for data interpolation, numerical analysis and statistics. In this paper we consider the MLS method in learning theory for the regression problem. Essential differences between MLS and other common learning algorithms are pointed out: lack of a ...
Least-squares method A method for deconvoluting fluorescence and phosphorescence decay curves is described which reduces the problem of solving an integral equation to one of solving a set of simultaneous equations. The method has been tested for both artifi... WR Ware,LJ Doemeny,TL Nemzek - ...