基于广义线性回归的任务定价机制  

The task pricing mechanism based on generalized linear regression

作　　者：李媛 温朝晖[1] 李文雅 汪鹏 

机构地区：[1]安徽财经大学统计与应用数学学院,安徽蚌埠233030

出　　处：《高师理科学刊》2017年第12期11-15,共5页Journal of Science of Teachers＇College and University

基　　金：国家自然科学基金资助项目(11301001);安徽省教育厅省级质量工程项目(2014gxk040);安徽财经大学本科教学工程项目(aczygxkc201314)

摘　　要：深入研究已结束项目的任务定价机制,根据该定价机制制定新的任务定价模型.重新打包发布已结束项目的任务,并对比任务完成情况,确定新的任务定价方案,通过聚类获取任务和会员的密度信息,构建一个广义线性回归定价模型.根据会员的任务限额和信度,对定价模型进行修正,获取一个更贴合实际的定价模型.通过对比分析新模型与原始模型,验证了新模型的合理性.According to the deep study of the pricing mechanism of finished and implemented. Through re-packaging and releasing the finished tasks, tasks, a new pricing model is designed comparing the accomplishments of the tasks, setting up a new pricing method, a generalized linear regression pricing model is established by obtaining the density information of tasks and members based on cluster analysis. According to the task quota and credit rating, the above pricing model is revised and a more realistic pricing model is obtained. By comparing the new model with the original model, the rationality of the new model is proved.

关 键 词：任务定价 任务打包 聚类分析 广义线性回归模型 

分 类 号：O29[理学—应用数学]