| Reference: | [1] Box, G. E. P. and Tiao, G. C. (1973), Bayesian Inference in Statistical Analysis, Addison-Wesley Publishing Co.
[2] Chaloner K. and Brant R. (1988), "A Bayesian approach to outlier detection and residual analysis," Biometrika , 75, 4, 651-659.
[3] Draper, N. R. and John, J. A. (1981), "Influential Observations and Outliers in Regression," Technometrics, 23, 21-26.
[4] Fox, J. and Monette, G. (1992), "Generalized Collinearity Diagnostics," Journal of American Statistical Association, 87, 178-183.
[5] Guttman, I. and Pena, D. (1988), Outliers and Influence: Evaluation by posteriors of parameters in the linear model, Bayesian Statistics 3, 631-640.
[6] Rao, C. R. (1973), Linear Statistical Inference and Its Applications, 2nd edition, John Wiley, New York.
[7] Schall, R. and Dunne, T. T. (1990), "Influential Variables in Linear Regression," Technometrics, 32, 323-330.
[8] Seber, G. A. F. (1977), Linear Regression Analysis, John Wiley, New York.
[9] Weisberg, S. (1980), Applied Linear Regression, John Wiley, New York. |
