Conover, W. J. and Iman, R. L. (1981), “Rank Transformations as a Bridge between Parametric and Nonparametric Statistics,” American Statistician, 35, 124–129.

Fisher, R. A. (1925), Statistical Methods for Research Workers, Edinburgh: Oliver & Boyd.

Freund, R. J., Littell, R. C., and Spector, P. C. (1991), SAS System for Linear Models, Cary, NC: SAS Institute Inc.

Graybill, F. A. (1976), Theory and Applications of the Linear Model, North Scituate, MA: Duxbury Press.

Hocking, R. R. (1985), The Analysis of Linear Models, Monterey, CA: Brooks/Cole.

John, P. W. M. (1971), Statistical Design and Analysis of Experiments, New York: Macmillan.

Kennedy, W. J., Jr. and Gentle, J. E. (1980), Statistical Computing, New York: Marcel Dekker.

Kirk, R. E. (1968), Experimental Design: Procedures for the Behavioral Sciences, Monterey, CA: Brooks/Cole.

Mendenhall, W. (1968), Introduction to Linear Models and the Design and Analysis of Experiments, Belmont, CA: Duxbury Press.

Milliken, G. A. and Johnson, D. E. (1984), Designed Experiments, Analysis of Messy Data, Belmont, CA: Lifetime Learning Publications.

Ott, L. (1977), Introduction to Statistical Methods and Data Analysis, 2nd Edition, Belmont, CA: Duxbury Press.

Scheffé, H. (1959), The Analysis of Variance, New York: John Wiley & Sons.

Schlotzhauer, S. D. and Littell, R. C. (1997), SAS System for Elementary Statistical Analysis, 2nd Edition, Cary, NC: SAS Institute Inc.

Searle, S. R. (1971), Linear Models, New York: John Wiley & Sons.

Snedecor, G. W. and Cochran, W. G. (1980), Statistical Methods, 7th Edition, Ames: Iowa State University Press.

Steel, R. G. D. and Torrie, J. H. (1980), Principles and Procedures of Statistics, 2nd Edition, New York: McGraw-Hill.