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.
点击下载:
PDF (677KB)
返 回