| Reference: | [1] Belsley, D. A. (1990), Conditioning Diagnostics: Collinearity and Weak Data in Regression, New York: John Wiley & Sons.
[2] Griffiths, L.W. (1950), Introduction to the theory of Equations (2nd ed),Associate Professor of Mathematics Northwestern University.
[3] Groebner, D. F. and P. W. Shannon, (1989), Bussiness Statistics Adecision – Making Approach (3rd ed), Merrill.
[4] Gunst,R.F. and R.L. Mason(1980),Regression Analysis and its Appli-cation:A data – Oriented Approach, Marcel Dekker,New York.
[5] Hadi,A.S. (1988),Diagnosing collinearity-influential observations, Computational Statistics & Data Analysis7, 143-159.
[6] Hadi,A.S. and M.T.Wells (1990),Assessing the Effects of Multiple Rows on the Condition Index of a Matrix ,Journal of the American Statistical Association85, 786-792.
[7] Hoaglin,D.C. and R.E. Welsch (1978), The hat matrix in regression and ANOVA,The American Statistican32,17-22.
[8] Kutner,M.H. ,J.Neter ,and W.Wasserman (1990),Applied Linear Sta-tistical Models(3rd ed),R.R.Donnelley & Sons Company.
[9] McCann,R.C. (1984), Introduction to Linear Algebra, Harcourt Brace Jonanovich, New York.
[10] Rao,C.R. (1965),Linear Statisticial Inference and Its Applications, New York:John Wiley & Sons.
[11] Walker,E. (1989),Datection of Collinearity-Influential Observations, Communications in Statistics, Theory and Methods 18(5),1975-1690. |
