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A graphical procedure for distinguishing between two data analysis pitfalls

 

作者: Michael E. Tarter,   William R. Freeman,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1987）
卷期: Volume 16, issue 2  

页码: 427-437

 

ISSN:0361-0918

 

年代: 1987

 

DOI:10.1080/03610918708812598

 

出版商: Marcel Dekker, Inc.

 

关键词: Lognormal;heteroscedasticity;linear regression;bivariate density estimation;nonparametric estimation

 

数据来源: Taylor

 

摘要:

This paper presents a graphical procedure for simultaneously distinguishing between two commonly encountered data anomaliesWhen applied in the context of one anomaly, a family of parallel lines will be estimated, and when applied in the contextofthe second anomaly, a family of lines, whose members all pass through the same point, will be estimated. It is shown that the procedure can be applied effectively using samples containing as few as two hundred bivariate observations.

 

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