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Some Useful Statistical Methods for Truncated Data

 

作者: KalbfleischJ. D.,   LawlessJ. F.,  

 

期刊: Journal of Quality Technology  （Taylor Available online 1992）
卷期: Volume 24, issue 3  

页码: 145-152

 

ISSN:0022-4065

 

年代: 1992

 

DOI:10.1080/00224065.1992.11979385

 

出版商: Taylor&Francis

 

关键词: Field Reliability;Lifetime Data;Non-parametric Estimation;Truncated Data;Warranty Data

 

数据来源: Taylor

 

摘要:

Truncated data arise when a variable is observable only over some portion of its range. This paper describes how truncated data arise in studies of the field performance or reliability of manufactured items. Failure to account for truncation can lead to biased inferences. Some useful nonparametric methods are presented with examples.

 

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