统计研究 ›› 1999, Vol. 16 ›› Issue (10): 39-44.

• 论文 • 上一篇    下一篇

企业年报数据中工业增加值异常情况的诊断

孙海燕   

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:1999-10-15 发布日期:1999-10-15

Diagnosis of Abnormal Phenomena of Industrial Added Value in the Statistical Yearbook of Enterprises

Sun Haiyan   

  • Received:1900-01-01 Revised:1900-01-01 Online:1999-10-15 Published:1999-10-15

关键词: 典型相关分析, 聚类分析, Q-Q图, 学生氏残差, 预测残差

Abstract: The mixed procedure for identifying multiple outliers is constructed in terms of canonical correlation analysis, cluster analysis and the diagnostic method for multiple outliers in linear model, and then this procedure is applied to the annual report data of enterprises in order to identify whether the concerned industry increase value is abnormal. The advantages of the procedure are easily operational, realizable with software and not intervenient by manual work.