2) unary linear regression equation 一元线性回归方程 1. A unary linear regression equation and its correlat. 为了减少实验数据处理的误差,提高结果的准确性;也为了进一步加强实验的综合性,培养和提高学生应用计算机(计算器)处理实验数据和作图的能力,本文在电导(率)法测定醋酸解离常数的实验中分别采用Excel...
Multiple linear regression models were fited to identify factors affecting wives CKS. 方法:由描述及拟合多元线性回归模型对影响妻子婚后 6年时避孕知识得分的因素进行分析。 2. The article would try to build a multiple linear regression model to analyze the factors which cause the high M_2/GDP in...
Kernelized dual regressionIn image set classification, dual linear regression classification (DLRC) has shown the excellent performance on face image data without the interference of the complex background. However, DLRC could not well identify the data set with the complex background. The complex ...
Multiple linear regression was conducted to develop a new BIA equation.ResultsValidation was based on 103 adolescents (60% girls), age 14.5 (sd1.7) years, weight 94.1 (sd15.6) kg and FFM-DXA of 56.1 (sd9.8) kg. The percentage accurate estimations varied between equations from 0 to 68%; ...
Linear regression-based and extended methods have been widely used in pattern classification. These methods can be roughly divided into two categories: reconstruction error-based methods and discriminative methods. The reconstruction error-based methods search the target label by learning the representation...
Frequency test, mean test, ANOVA test, Spearman‟s rho test, Multiple Linear Regression, G-Power test and factor analysis test were used to measure the inter-relationships between the variables and the level of LO practice in DSD. This research found that only 52.3% of the respondents ...
线性回归问题Linear Regression经过核技巧可以演化为Kernel Linear Regression,对数几率回归Logistic Regression也有其对应的Kernel Logistic Regression。当然,熟悉的Linear SVM和Linear PCA也有其相应的核版本,分别为Kernel SVM和Kernel PCA。 下面以回归问题为例,推导一下线性问题变为核版本的一般套路。首先定义回归问题为下面...
In this paper it is inquired into the original problems of dual linear programming problem and the attribute of dual problem and the distinctions and the internal relations between both, it is demonstrated its important property by a simple and convenient methods. The relations between feasible solut...
Linear regression statistics is subsequently used to establish5the constants allowing the obtaining of the segment MM. Three equations were obtained, one for the upper members: MMUL = (0.533*FAP) - (0.176*RAP) + (0.42*WP) + (0.282*SRL) - 19,985; a second equation for muscle mass of ...
In this paper, the D- and D s-optimal design problems in linear regression models with a one-dimensional control variable and a k-dimensional response variable are considered. The response variables are correlated with a known covariance matrix. Some of the D- and D s-optimal designs with po...