Tests to Evaluate Potential Outliers

Autor:	James E. De Muth
Rok vydání:	2019
Předmět:	Multivariate statistics Grubbs' test for outliers Data point Inferential statistic Outlier Statistics Univariate Studentized residual Mathematics Test (assessment)
Zdroj:	Practical Statistics for Pharmaceutical Analysis ISBN: 9783030339883
DOI:	10.1007/978-3-030-33989-0_8
Popis:	This last chapter deals with the evaluation of potential outliers. Outliers are different from out-of-specification data points and represent very extreme aberrant values. Outlies can occur with univariate or multivariate samples and may have disastrous effects on the inferential statistic when analyzing small data sets. Outlier tests are very valuable for in these situations, but may not be needed for larger data sets because the other values will soften the effects of potential outlies on the results of any statistical evaluation. The primary tests described in this chapter are Grubbs’ test and Dixon’s Q test for univariate situations and an evaluation of the studentized residuals for linear regression-type situations. Minitab applications for evaluating data points as potential outliers are presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dfdc7e4a71024d2f4d2d2ab4b1a179f3 https://doi.org/10.1007/978-3-030-33989-0_8 Zobrazit plný text záznamu