| Reference: | [1] Andrews, D. F., and Pregibon, D. (1978): Finding the Outliers That Matter, Journal of the Royal Statistical Society, Ser. B, 40. pp.85-93.
[2] Aroian, L. A. t1942): The Relationship of Fisher`s Z-Distribution to Student`s T Distribution (Abstract). Annals of Mathematical Statistics 13. PP. 451-452.
[3] Belsley. D. A., Kuh. E., and Welsch. R. E. (1980): Regression Diagnostics: Identifying Influential Data and Sources of Collinearity New York:John Wiley.
[4] Brownlee, K. A., (1965): Statistical Theory and Methodology in Science and Engineering, Wiley. (2nd ed.)
[5] Cook, R. D ., (1977): Detection of Influential Observations in Linear Regression. Technometrics, 19, PP. 15-18.
[6] Cook. R. D., (1979): Influential Observations in Linear Regression, Journal of the American Statistical Association, 74, pp. 169-174.
[7] Cook. R. D., and Weisberg, s. (1980): Characterizations of an Empirical Influence Function for Detecting Influential Cases in Regression. Technometrics. 22. Pp. 495-508.
[8] Cook, R. D., and Weisberg, S. (1982): Residuals and Influence in Regression, Hew York: Chapman and Hall. PP. 135.
[9] Daniel, C., and Wood, F. S. (1980): Fitting Equations to Data, (2nd ed.) , New York: John Wiley. pp. 60-82.
[10] Duda, R. 0., and Hart, P. E. (1973): Pattern Classification and Scene Analysis, New York: Wiley. PP. 239-243.
[11] Ling, R. F. (1972): On the Theory and Construction of K-Clusters. Computer Journal. 15. PP. 326-332.
[12] Ling. R. F. (1973): A Computer - Generated Aid for Cluster Analysis. Communications of the Association for Computing Machinery, 16. PP. 355-361.
[13] Milligan, G. W., and Cooper. H. C. (1985): An Examination of Procedures for Determining the Humber of Cluster in A Data Set. Psychometrika. 50. PP. 159-179.
[14] Welsch. R. E. (1982): Influence Functions and Regression Diagnostics, in Modern Data Analysis. eds. R. Launer and A. Siegel. New York: Academic Press. |
