[1]童春发.回归模型中变换参数的影响分析[J].南京林业大学学报(自然科学版),2000,24(02):047-50.[doi:10.3969/j.jssn.1000-2006.2000.02.013]
 Tong Chunfa.Transformations and Influential Cases in Regression Model[J].Journal of Nanjing Forestry University(Natural Science Edition),2000,24(02):047-50.[doi:10.3969/j.jssn.1000-2006.2000.02.013]
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回归模型中变换参数的影响分析
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《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
24
期数:
2000年02期
页码:
047-50
栏目:
研究论文
出版日期:
1900-01-01

文章信息/Info

Title:
Transformations and Influential Cases in Regression Model
文章编号:
1000-2006(2000)02-0047-04
作者:
童春发
南京林业大学基础课部;南京210037
Author(s):
Tong Chunfa
Department of Basic Courses Nanjing Forestry University Nanjing 210037
关键词:
BoxCox变换数据变换回归诊断构造变量
Keywords:
Box Cox transformationsData transformationsRegression diagnosticsConstructed variables.
分类号:
141.4
DOI:
10.3969/j.jssn.1000-2006.2000.02.013
文献标志码:
A
摘要:
<正>把D .V .Hinkley和S .Wang的回归模型变换参数影响的诊断方法推广到多个数据的情形 ,评价多个数据对“双边变换模型”参数估计的影响。分别考虑双参数变换模型和单参数变换模型 ,利用构造变量回归技术和平均异常点模型得到了删除数据诊断量的近似值。并给出了一个算例 ,说明删除两个数据时对单个参数估计的影响
Abstract:
The diagnostic method of Hinkley and Wang (1988) is extended for assessing the influence of a group of cases to the regression models in which both response and linear predictor are transformed. Both the double transformation model and the single transformation model are considered. Approximations for casesdeletion diagnostics are obtained by taking advantage of the constructed variable regression technique and using a mean outlier model. An example is presented for illustrating the influence on the estimator of the single parameter when two cases are deleted.

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更新日期/Last Update: 1900-01-01