COMPUTER ANALYSIS OF THREE-FACTOR INTERACTIONS IN CONTINGENCY TABLES

1966 ◽  
Author(s):  
Marvin A. Kastenbaum ◽  
Dennis Kuba
Keyword(s):  
Computer Analysis ◽  
Contingency Tables ◽  
Factor Interactions ◽  
Three Factor

scholarly journals A Graphical Assessment of Data from Intercropping Factorial Experiments

1983 ◽  
Vol 19 (1) ◽  
pp. 23-31 ◽  
Author(s):  
B. Gilliver ◽  
S. C. Pearce
Keyword(s):  
Graphical Method ◽  
Bivariate Analysis ◽  
Factorial Experiments ◽  
Yield Data ◽  
Crop Species ◽  
Factor Interactions ◽  
Three Factor

SUMMARYA graphical method, based on bivariate analysis, is used to present yield data from intercropping experiments involving two crop species. The method is used to demonstrate two- and three-factor interactions in factorial experiments.

Effects of varying variety and spacing on yeids and composition of mixtures of lucerne and tall fescue

1965 ◽  
Vol 64 (3) ◽  
pp. 351-359 ◽  
Author(s):  
J. L. Fyfe ◽  
H. H. Rogers
Keyword(s):  
Tall Fescue ◽  
Dry Matter ◽  
Factorial Experiment ◽  
Annual Total ◽  
Factor Interactions ◽  
Three Factor

1. In a 3 x 3 x 3 factorial experiment of two replications, with three-factor interactions partly confounded with block effects, the effects of lucerne variety (du Puits or one of two Institute synthetics), tall fescue variety (S.170 or one of two Institute bulks) and spacing (mixed drills 6 in. apart, alternate grass and lucerne drills 6 in. or 12 in. apart) and their two-factor interactions were studied on yield of dry matter and proportion of lucerne. Data are reported for the total of fourteen cuts, for the annual total for three harvest years and for spring, summer and autumn cuts.

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