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The block effects are assumed to be random.
In addition, a relationship is established between the design of experiments with random block effects and the design of experiments with fixed block effects.
One enters the block effects in a linear fashion and the other in a nonlinear fashion.
Both live and dead palm leaves were depauperate, and season and block effects were minimal.
Pertussis toxin was used to block effects mediated by M2 and M4 receptors.
In both cases block effects can be considered as fixed or random.
A test statistic analogous to the normal-theory F statistic is defined to test block effects.
In such cases, we recommend treating the block effects as fixed.
Two ways of introducing block effects into nonlinear models are considered.
The presence of block effects makes the optimal selection of fractional factorial designs a difficult task.
This includes the use of models with block effects and generalized linear models.
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