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基于多元回归分析的拍照任务定价模型 被引量:1

Photographic Task Pricing Model Based on Multiple Regression Analysis
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摘要 该文针对2017年全国大学生数学建模竞赛B题给出的"拍照赚钱"任务定价问题进行研究。通过多元线性回归分析的方法,建立任务的定价规律函数来探究任务定价规律并分析任务未完成的原因。在现有定价规律函数的基础上引入多元logistics逻辑回归函数,对原有定价方案进行修正,得到改进后新的任务定价方案。联系到实际情况,考虑在多个任务打包发布情况下,利用SPSS进行任务聚类分包处理并制定打包优惠政策以修改定价模型。通过与原方案结果对比,新方案具有更好的实施效果。 This paper focuses on the issue of“Photographing and Making Money”task given by the National College Students Mathematical Modeling Contest in Modeling in 2017.Through the method of multiple linear regression analysis,the pricing law function of the task is established to explore the law of task pricing and analyze the reasons why the task is not completed.Based on the existing pricing law function,a multivariate logistics logistic regression function is introduced to correct the original pricing scheme,and an improved new task pricing scheme is obtained.In connection with the actual situation,consider using SPSS for task clustering and subcontracting processing and formulating package preferential policies to modify the pricing model.compared with the original program results,the new program has a better implementation effect.
作者 吕一虹 王云川 李彤 程光辉 LüYihong;WANG Yunchuan;LI Tong;CHENG Guanghui(School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;School of Electronic Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;School of Mathematical Sciences,University of Electronic Science and Technology of China,Chengdu 611731,China)
出处 《实验科学与技术》 2018年第6期1-6,12,共7页 Experiment Science and Technology
关键词 数理统计理论 多元线性回归 多元logistics回归 系统聚类 mathematical statistics theory multiple linear regression multiple logistic regression system clustering
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