[1]宋佳莹,葛亚平.基于Logistic回归在二分类型任务定价模型中的应用[J].南京师范大学学报(自然科学版),2018,41(04):33.[doi:10.3969/j.issn.1001-4616.2018.04.007]
　Song Jiaying,Ge Yaping.The Application of Logistic Regression in Binary Task Pricing Model[J].Journal of Nanjing Normal University(Natural Science Edition),2018,41(04):33.[doi:10.3969/j.issn.1001-4616.2018.04.007]
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基于Logistic回归在二分类型任务定价模型中的应用()
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《南京师范大学学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第41卷
期数:
2018年04期
页码:
33
栏目:
·数学与计算机科学·
出版日期:
2018-12-31

文章信息/Info

Title:
The Application of Logistic Regression in Binary Task Pricing Model
文章编号:
1001-4616(2018)04-0033-06
作者:
宋佳莹; 葛亚平
南通理工学院基础教学学院,江苏 南通 226002
Author(s):
Song Jiaying; Ge Yaping
Institute of Basic Education,Nantong Polytechnic College,Nantong 226002,China
关键词:
众包平台服务; 主成分分析; 多元线性回归模型; Logistic回归模型; 重新定价
Keywords:
crowdsourcing platform service; principal component analysis; multiple linear regression model; Logistic regression model; repricing
分类号:
F222.1
DOI:
10.3969/j.issn.1001-4616.2018.04.007
文献标志码:
A
摘要:
随着大数据时代的发展,互联网逐渐渗入到各个行业,众包平台服务模式开启,这是移动互联网下的一种自助式服务模式,它将产品和消费者、厂商正确无误地联系在一起,较之传统的市场调查方式,更加时效并缩短了调查周期、减少成本和有利于数据的收集,保证了调查数据的真实性. 本文主要针对众包任务定价方面进行数据分析,利用多元统计方面的主成分分析、多元线性回归模型以及多元Logistic回归模型对相关任务进行分析、重新定价,以使得在保证最低成本下,任务最终能够尽可能被完成.
Abstract:
With the development of big data technology,the Internet has penetrated into every walk of life. Crowdsourcing platform service mode,a self-service mode with mobile Internet,has come into being. It accurately connects products with consumers and manufactures. Compared with traditional market research method,this mode is more time-effective. It not only decreases vestigation period but also reduces cost,which is conducive to data collection and guarantees the authenticity of collected data. This essay makes data analyses on the pricing of crowdsourcing tasks. Principal component analysis,multiple linear regression model as well as multiple logistic linear regression model are utilized to analyze the relevant tasks and to reprice so as to complete the relevant tasks with minimum cost as far as possible.

参考文献/References:

[1] 范海峰. 产品定价决策影响因素及方法探讨[J]. 财会通讯(理财版),2007(8):16-17.
[2]张博,戴薇. 基于主成分分析的我国整车上市公司财务状况评价[J]. 西北农林科技大学学报(社会科学版),2012,12(5):102-106.
[3]董纯洁. 基于实例与逻辑回归的多标签分类模型[D]. 南京:南京大学,2013.
[4]唐海龙. 第三方物流企业成本分析及定价模式研究[D]. 大连:大连海事大学,2005.

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备注/Memo

备注/Memo:
收稿日期:2018-03-05.
基金项目:南通理工学院教研课题(2017NITJG11).
通讯联系人:宋佳莹,硕士,助教,研究方向:应用统计. E-mail:18751994127@126.com
更新日期/Last Update: 2018-12-30