Statistical Methods for Using Nonlinear Models to Compare Silage Treatments

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Abstract
Statistical methods are described which can be used to compare treatments where the response is described by a nonlinear model. The nonlinear analysis of covariance is described for a one‐way treatment structure and a two‐way treatment structure. Methods for constructing confidence bands about a model and about the difference of two models are described. Examples involving the dynamics of silage fermentation are used to demonstrate the methods.

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