Transformation of binomial variables for analysis according to a randomized block design
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Abstract
transformation of variables with Binomial distribution
applied to randomized block design. For the analysis was
considered 5, 10 and 30 observations per experimental unit
(n) and probability of success of the event (p) of 0,10; 0,20; ...; 0,90.
Through the Monte Carlo method, 100 experiments with
3, 5 and 9 treatments (t) were simulated; 4 and 8 replicates (r);
with 5, 10 and 30 observations per experimental unit (n) and
probability of success of the event (p) of 0,10; 0,20; ...; 0;90.
It was evident that the arcsine and family transformations
Box- Cox power transformation angle: natural logarithm,
square root and inverse were not able to solve the deviations
with respect to the assumptions of ANAVA. It should be
mentioned that in recent years little input regarding such
research are made.
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