首页 | 本学科首页   官方微博 | 高级检索  
     检索      

INFLUENCE MEASURE OF PERTURBATION AND VARIABLES IN REGRESSION MODELS
作者姓名:胡跃清
摘    要:INFLUENCEMEASUREOFPERTURBATIONANDVARIABLESINREGRESSIONMODELSHuYueqirig(胡跃清)(DepartmentofMathematicsandMechanics)INFLUENCEMEAS...


INFLUENCE MEASURE OF PERTURBATION AND VARIABLES IN REGRESSION MODELS
Hu Yueqirig.INFLUENCE MEASURE OF PERTURBATION AND VARIABLES IN REGRESSION MODELS[J].Journal of Southeast University(English Edition),1994(1).
Authors:Hu Yueqirig
Institution:Department of Mathematics and Mechanics
Abstract:Based on the Kullback-Leibler distance and information distance, someinfluence measures for model perturbations and explanatory variablap ia reg,ressionmodels are proposed.The new influence measures can be used to identify influentialcases and to assess the effect of explanatory variables on the interested parametersThe method is adaptable for a variety of regression models.
Keywords:information distance  perturbation  influence measure  regressionanalysis/Kullback-Leibler distance
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号