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A Robust Alternative Based on Ranks to Least Squares in Analyzing Linear Models

 

作者: ThomasP. Hettmansperger,   JosephW. McKean,  

 

期刊: Technometrics  （Taylor Available online 1977）
卷期: Volume 19, issue 3  

页码: 275-284

 

ISSN:0040-1706

 

年代: 1977

 

DOI:10.1080/00401706.1977.10489549

 

出版商: Taylor & Francis Group

 

关键词: Robust estimate;Rank estimate;Rank tests;Linear models

 

数据来源: Taylor

 

摘要:

A unified approach based on the ranks of the residuals iS developed for testing and estimation in the linear model, The methods are robust and efficient relative to least squares methods. For ease of application, the strong analogy to least squares strategy is emphasized. The procedures are illustrated on examples from regression and analysis of covariance.

 

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