1.
Forecasting Methods of Pulping Properties of Fast-Growing Woods with Multiple Nonlinear Regression
速生材制浆性能与其材性的多元非线性回归分析及预测方法
2.
Multivariate Nonlinear Regression Analyses of Time Series Law to Subgrade Settlement of High-speed Railway Based on the Foundation of Layer-summation
基于分层总和法的路基沉降时序规律多元非线性回归分析
3.
Multicollinearity in Multilinear Regression Models and Partial Least Squares Regression;
多元线性回归中复共线问题及偏最小二乘回归分析
4.
Reliability Analysis of PBGA Based on Multiple Linear Regression and Global Sensitivity Method Integration
基于多元线性回归的PBGA可靠性灵敏度分析
5.
Forecast of wear shield's disc cuttersbased on multivariate nonlinear regression
盾构滚刀磨损的多元非线性回归预测
6.
The Multivariate Nonlinear Regression Model Based on MATLAB
基于MATLAB的多元非线性回归模型
7.
Multiple Linear Regression Analysis for the Quantity of Staff and Faculty with Influential Factors;
教职工数量影响因素的多元线性回归分析
8.
Multiple Linear Regression Analysis applied to Fixed Assets Investment;
多元线性回归分析在固定资产投资中的应用
9.
Appling Multivariate Linear Regression Analysis in Two Troops Batting with Each Other;
多元线性回归分析在两军竞战中的应用
10.
Multiple Linear Regression in Statistical Analysis for School Health Survey;
学校卫生调查统计分析中的多元线性回归方程
11.
Analysis of multiple linear regression based on the factors related pulmonary edema and nationalities
肺水肿与民族因素间的多元线性回归分析
12.
Classification for Multiple Linear Regression Methods
多元线性回归模型的聚类分析方法研究
13.
Analysis of Multiple Linear Regression based on the Diabetes Mellitus and Nationalities
基于糖尿病与民族因素的多元线性回归分析
14.
The Application of Gray Multiple Linear Regression Analysis in the Real Estate
灰多元线性回归分析及其在房地产中的应用
15.
Multiple linear regression analysis of micro-climate and environmental number of bacteria in pigsty
猪舍小气候因素与环境菌量多元线性回归分析
16.
The Application of Multiple Linear Regression Analysis in the Real Estate Market
多元线性回归分析在房地产市场中的应用
17.
Application of the Multiple Linear Regression Analysis Technology in New Countryside
多元线性回归分析技术在新农村建设中的应用
18.
Patient's performance status was assessed by the Eastern Cooperative Oncology Group-Performance Status Rating(ECOG-PSR). Percent,Spearman correlation,linear re gression analysis were used to analyze the data.
数据分析采用构成比描述、Spearman 单因素相关分析和多元线性回归分析。