回归方法

• Compared to other ways , fdr method is very simple and efficient , and has high accuracy and fast computation speed
  与其它方法比较，采用频域回归方法计算墙体的反应系数和导热z传递函数更加简单、效率更高。
• It is superior to traditional multiple regression ' s calculating model and gp in model ' s astringency and predict accuracy
  该模型在收敛性能及预测准确率等方面优于基于传统的多元回归方法及gp方法的信用风险评估模型。
• In consequence , gender wage discrimination changes with wage level , while low skilled female workers suffer the most
  相较于分量回归方法，常规的最小平方法往往低估或高估不同工资分量下劳工特性的报酬率，也低估性别歧视的比例。
• The support vector approach learns a parsimonious regression model from the given data to avoid the data over - fitting problem
  支持矢量回归方法可以在给定的资料中生成一个简洁的回归模式，以避免常规机器学习法中的资料过度学习问题。
• In allusion to the disadvantages of the methods we usually use , quantile regression is introduced and the goodness of fit is improved effectively
  针对当前常用混合成本分解方法的不足，本文引入百分位数回归方法，有效提高混合成本分解的拟合优度。
• The application of near - infrared ( nir ) spectroscopy for estimating the various properties in samples has become widespread with the use of multivariate calibration
  近红外技术结合多元回归方法已经广泛应用于许多行业的物质相关成分含量的测定。
• In this study , we propose a novel application of the support vector regression ( svr ) method to model a task variable in the task - technology fit ( ttf ) theory
  摘要本研究提出一个创新的支持矢量回归方法来探讨应用任务科技适配理论于信息系统采用之问题。
• We employ probit and logit model to acquire the main factors influencing tfp growth . in the end , the conclusion is provided
  该部分简要介绍probit模型及logit模型，并运用以上回归方法联系交通运输业实际情况来分析影响交通运输业全要素生产率的主要因素。
• The application of three different regression methods which named polynomial regression , linear multi - variant regression and support vector regression in voice conversion is compared in this paper
  将3种不同的回归方法：多项式回归，线性多变量回归以及支持向量回归分别应用于声音转换。