Outliers, residuals, and influence in multiple regression1

Journal of Animal Breeding and GeneticsVolume 103, Issue 1-5 p. 161-175 Outliers, residuals, and influence in multiple regression1 J.L. Gill, Corresponding Author J.L. Gill Department of Animal Science, Michigan State University, East Lansing, USADep. of Animal Science, Michigan State University, East Lansing, MI 48 824, USASearch for more papers by this author J.L. Gill, Corresponding Author J.L. Gill Department of Animal Science, Michigan State University, East Lansing, USADep. of Animal Science, Michigan State University, East Lansing, MI 48 824, USASearch for more papers by this author First published: January‐December 1986 https://doi.org/10.1111/j.1439-0388.1986.tb00079.xCitations: 33 1 Journal article number 11758 of the Michigan Agricultural Experiment Station. AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Literature Allen, D. M., 1974: The relationship between variable selection and data augmentation and a method for prediction. Technometrics 16: 125–127. Cook, R. D., 1977: Detection of influential observations in linear regression. Technometrics 19: 15–18. Cook, R. D.; Weisberg, S., 1982: Residuals and Influence in Regression. Chapman and Hall, New York, NY. Gill, J. L., 1978: Design and Analysis of Experiments in the Animal and Medical Sciences. Iowa State Univ. Press, Ames, Ia. Grubbs, F. E.; Beck, G., 1972: Extension of sample sizes and percentage points for significance tests of outlying observations. Technometrics 14: 847–854. Harrison, M.J.; McCabe, B.P.M., 1979: A test for heteroscedasticity based on ordinary least squares residuals. J. Am. Statist. Assoc. 74: 494. Tietjen, G. L.; Moore, R. H., 1972: An extension of some Grubbs-type statistics for the detection of several outliers. Technometrics 14: 583–598. Tukey, J. W., 1962: The future of data analysis. Ann. Math. Stat. 33: 1–67. Citing Literature Volume103, Issue1-5January‐December 1986Pages 161-175 ReferencesRelatedInformation