Demonstrating the consistency of small data sets: Application of the Weisberg t-test for outliers

被引：0

作者：

Seely, RJ

Munyakazi, L

Houry, J

Simmerman, H

Rushing, WH

Curry, TF

机构：

[1] Amgen Inc, Corp QA, Corp Validat, Longmont, CO 80503 USA

[2] Amgen Inc, Qual Analyt Labs, Longmont, CO 80503 USA

[3] Amgen Inc, 6 Sigma, Longmont, CO 80503 USA

[4] Northrop Grumman Informat Technol, Colorado Springs, CO 80919 USA

来源：

BIOPHARM INTERNATIONAL | 2003年 / 16卷 / 05期

关键词：

D O I：

暂无

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Determining whether a data point is an "outlier"-a result that doesn't fit, that is too high or too low, that is extreme or discordant is difficult when using small data sets (such as the data from three, four, or five conformance runs). The authors show that the Weisberg t-test is a powerful tool for detecting deviations in small data sets.

引用

页码：36 / +

页数：5

共 13 条

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