Chapter 5 based on studying the factors affecting the pricing of ipos , combining multifactor step regress method , concludes ipos pricing model , demonstrate the factors affecting the pricing of ipos 第五章运用多元因素逐步回归方法，构建ipo定价模型，进一步深入研究ipo定价影响因素。
According to known data , this text make use of the tool of matlab , apply regression method , put out the regression relation of them and verified the accuracy of this model 本文根据已知数据，利用matlab工具，采用回归方法得出了实际泵效率与铭牌泵效率的回归关系，并验证了回归模型的正确性。
Based on the capacitance distributions from 12 - electrod capacitance sensor , using stepwise regression method , the capacitance relation of oil - gas two phase flow based on flow pattern is developed 摘要基于12电极阵列电容传感器提供的电容测量信息，采用逐步回归方法，获得了与流型相关的电容关联式。
After that , the causes of the primary problems in presently the housing supply and demand are discussed . finally , countermeasures which solve the problems in the nanjing ’ s housing market are given ) ,接着采用回归方法对问题的成因进行了分析,最后在前面几章分析的基础上,提出了解决目前住宅供需问题的对策。
Then , we present a detailed scheme of classification for the practical seismic problems , and theoretically discuss the necessity that different regression methods should be adopted for the different kinds of issues 针对实际地震问题给出了具体的分类方案，从理论上论述了不同类型问题采用不同的回归方法的必要性。
Through the methods of multiple linear stepwise regressions , the main environment factors were found and multiple linear regression models among the transpiration rate and environment factors were set up 通过多元线性逐步回归方法，得到了影响沙质海岸蒸腾速率的主要环境因子，及其与土壤呼吸速率之间的多元回归模型。
The character of this paper is that the linear recursive analysis is adopted on the prediction of demand and supply in xi ' an dwelling house market on which the strategy study is based on 本文的特点在于：采用一元线性回归方法，对未来西安市住宅市场的供求情况进行预测，对定量分析西安市住宅建设发展问题进行了初步尝试。
Founded on the theories of statistical learning , mathematical programming and functional analysis , svr is shown to outperform the traditional multiple linear regression method from the perspective of regression accuracy 根基于统计学习、数学规划及泛函分析理论，支持矢量回归方法较常规的多元回归方法在回归正确性上有较好的成效。
Through the experiment on the cod data and compared with some commonly used regression methods , it proves the efficiency and applicability of the ensemble learning boosting regression algorithm 通过对一批水质cod数据进行的实验仿真，并将其结果和一些常用的回归方法作了比较，证明了集成学习boosting回归算法对各种实际问题的有效性和适应性。
Experiments are reduced by quantitative structure - activity relationship , then a lot of work , money and time is saved . camptothecin derivatives are a kind of prospective anticancer medication . experiments suggest support vector regression is 然后应用支持向量回归方法预测了芳香烃化合物生物降解度与喜树碱化合物抗肿瘤生物活性,得到了较好的结果。
