References
- Barrett, B.E., Ling, R.F. (1992). General classes of influence measure for multivariate regression. J. Am. Stat. Assoc. 87:185–191.
- Bhar, L., Gupta, V.K. (2001). A useful statistic for studying outliers in experimental designs. Sankhya B 63:338–350.
- Cook, R.D. (1977). Detection of influential observation in linear regression. Technometrics 19(1):15–18.
- Cook, R.D., Weisberg, S. (1980). Characterizations of an empirical influence function for detecting influential cases in regression. Technometrics 22:495–508.
- Gnanadesikan, R., Kettenting, J.R. (1972). Robust estimates, residuals, and outlier detection with multiresponse data. Biometrics 28:81–124.
- Gnanadesikan, R., Lee, E.T. (1970). Graphical techniques for internal comparisons amongst equal degree of freedom groupings in multiresponse experiments. Biometrika 57:229–237.
- Kang, G., Bates, D.M. (1990). Approximate inferences in multi-response regression analysis. Biometrika 77:321–332.
- Parsad, R., Nandi, P.K., Bhar, L., Gupta, V.K. (2008). Outliers in multi-response experiments. Stat. Appl. 6:275–292.
- Rocke, D.M., Woodruff, D.L. (1996). Identification of outliers in multivariate data. J. Am. Stat. Assoc. 91(435):1047–1061.
- SAS Institute Inc. (1989). SAS/STAT User's Guide (Vol. 2, Version 6, 4th ed.). Cary, NC: Author.
- Tukey, J.W. (1977). Exploratory Data Analysis. Reading, MA: Addison-Wesley.