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Adjusting for Errors in Classification and Measurement in the Analysis of Partly and Purely Categorical Data

 

作者: Jan Selén,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1986)
卷期: Volume 81, issue 393  

页码: 75-81

 

ISSN:0162-1459

 

年代: 1986

 

DOI:10.1080/01621459.1986.10478239

 

出版商: Taylor & Francis Group

 

关键词: Classification errors;Error adjustment;Measurement error;Bias adjustment

 

数据来源: Taylor

 

摘要:

This article examines a method of adjusting subgroup means when there are errors both in the allocation of elements to the subgroups and in the measurement of the response. The advantages with the method are that it is simple, it is also applicable when there are many subgroups, and it requires no distributional assumptions for the response variable. The method is compared to the maximum likelihood method for a dichotomous response, and an example from the Swedish Level of Living Survey is given.

 

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