References
Periodicals
- Farrar, D. E., and Glauber, R. R., “Multicollinearity in Regression Analysis: The Problem Revisited,” Review of Economics and Statistics, Vol. 49, 1967, pp. 92–107.
- Gorman, J. W., “Fitting Equations to Mixture Data With Restraints on Compositions,” Journal of Quality Technology, Vol. 2, No. 4, 1970, pp. 186–194.
- Longley, J. W., “An Appraisal of Least Squares Programs for the Electronic Computer from the Point of View of the User,” Journal of the American Statistical Association, Vol. 62, 1967, pp. 819–841.
- Marquardt, D. W., “Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation,” Technometrics, Vol. 12, No. 3. 1970, pp. 591–612.
- Mason, R. L.; Gunst, R. F.; and Webster, J. T., “Regression Analysis and Problems of Multicollinearity,” Communications in Statistics, Vol. 4, No. 3, 1975, pp. 277–292.
- Mullet, G. M., “A Graphical Illustration of Simple (Total) and Partial Regression,” American Statistician, Vol. 26, No. 5, 1972, pp. 25–27.
- Mullet, G. M., and Murray, T. W., “A New Method for Examining Rounding Error in Least-Squares Regression Computer Programs,” Journal of the American Statistical Association, Vol. 66, 1971, pp. 496–498.
- Snee, R. D., “Some Aspects of Nonorthogonal Data Analysis, Part I. Developing Prediction Equations,” Journal of Quality Technology, Vol. 5, No. 2, 1973, pp. 67–79.
- Wampler, R. H., “A Report on the Accuracy of Some Widely Used Least Squares Computer Programs,” Journal of the American Statistical Association, Vol. 65, 1970, pp. 549–565.
Books
- Duncan, A. J., Quality Control and Industrial Statistics, 4th edition; Homewood, Ill., Richard D. Irwin, Inc., 1974.
- Draper, N. R. and H. Smith, Applied Regression Analysis; New York: John Wiley & Sons, Inc., 1966.