The application of orthogonal contrasts to determine homogeneous groups

Biegun, J.M., Gabriel, K.R. (1981). Closure of the Newman-Keuls multiple comparisons procedure. Journal of the American Statistical Association, 76, 374.
Google Scholar

Box, G.E.P., Hunter, J.S., Hunter, W.G. (2005). Statistics for Experimenters — Design, Innovation, and Discovery. Second Edition. Wiley and Sons Inc., New Jersey, USA.
Google Scholar

Caliński, T., Corsten, L.C.A. (1985). Clustering means in ANOVA by simultaneous testing. Biometrics, 41, 39—48.
Google Scholar

Cochran, W.G., Cox, G.M. (1957). Experimental design. John Wiley & Sons Inc., New York, USA.
Google Scholar

Cornfield, J., Tukey, J.W. (1956). Average values of mean squares in factorials. Annals of Mathematical Statistics, 27, 907—949.
Google Scholar

Duncan, D.B. (1975). T test and intervals for comparisons suggested by the data. Biometrics, 31, 339—359.
Google Scholar

Dunnett, C.W. (1955). A multiple comparisons procedure for comparing several treatments with a control. Journal of the American Statistical Association, 50, 1096—1121.
Google Scholar

Elandt, R. (1964). Mathematical statistics applied to agricultural experimentation. PWN, Warsaw, Poland. (in polish)
Google Scholar

Fisher, R.A. (1925). Statistical Methods for Research Workers. Oliver and Boyd, Edinburgh and London, UK.
Google Scholar

Fisher, R.A. (1935). The Design of Experiments. Oliver and Boyd, Edinburgh and London, UK.
Google Scholar

Hochberg, Y. (1988). A sharper Bonferroni procedure for multiple test of significance. Biometrika, 75, 800—802.
Google Scholar

Hochberg, Y., Tamhane, A.C. (1987). Multiple Comparison Procedures. John Wiley & Sons Inc., New York, USA.
Google Scholar

Hsu, J.C., Nelson, B. (1998). Multiple comparisons in the General Linear Models. Journal of Computational and Graphical Statistic, 7, 23—41.
Google Scholar

Laudański, Z. (1996). Application of projection operators for analysing of non-orthogonal data. Theory, algorithms and examples. Treatises and Monographs, 208. Warsaw University of Life Science Publishing, Warsaw, Poland. (in polish)
Google Scholar

Mańkowski, D.R. (2002). Proposal of division into subgroups some similar one-dimensional populations. Master's thesis, Warsaw University of Life Science, Warsaw, Poland. (in polish)
Google Scholar

Montgomery, D.C. (2005). Design and analysis of experiment. 6th edition. John Wiley & Sons Inc., Hoboken, NJ, USA.
Google Scholar

Rafter, J.A., Abell, M.L., Braselton, J.P. (2002). Multiple Comparison Methods for Means. Society for Industrial and Applied Mathematics: 259—278.
Google Scholar

Scheffe, H. (1959). The analysis of variance. John Wiley & Sons Inc., New York, USA.
Google Scholar

Searle, S.R. (1971). Linear models. John Wiley & Sons Inc., New York, USA.
Google Scholar

Tukey, J.W. (1953).The problem of multiple comparisons. Princeton University.
Google Scholar

Wagner, W. (1977). A posteriori grouping varieties or objects based on analysis of variance from single experiment. Variety Assessment Bulletin, 2 (10). (in polish)
Google Scholar

Wójcik, A.R., Laudański, Z. (1989). Planning and statistical inference in experimentation. PWN, Warsaw, Poland. (in polish)
Google Scholar