摘要
以238家企业债为样本,利用多元非线性回归分析法建模,对评级结果进行综合分析,从数据层面对信用评级结果进行验证.研究结果表明,该模型可对信用评级结果进行验证.
Taking 238 corporate bonds as samples,this paper uses multivariate nonlinear regression analysis to model and synthetically analyze the rating results,and validates the credit rating results from the data level.The research results show that the credit rating result can be verified by the model.
作者
褚文杰
林夏晨
祖培福
刘素兵
CHU Wen-jie;LIN Xia-chen;ZU Pei-fu;LIU Su-bing(School of Mathematical Sciences Mudanjiang Normal University,Mudanjiang 157011,China;Foundation Department Rocket Force University of Engineering,Xi'an 710000,China)
出处
《牡丹江师范学院学报（自然科学版）》
2019年第1期7-9,共3页
Journal of Mudanjiang Normal University：Natural Sciences Edition
基金
2018年度黑龙江省教育厅青年培育项目(1353MSYQN016)
2017年牡丹江师范学院教学改革项目(17-XJL19019
201710233013)
关键词
曲线回归
信用级别验证
多元非线性回归
curvilinera regression
credit level validation
multivariate nonliner
