We demonstrate the implementation of a variety of non-linear models that are more appropriate for modeling plant growth than are the traditional, linear, models.Ecological inference is frequently ...

In the analysis of a general linear model a scale parameter arises in the standard deviations of rank estimates and as a standardizing constant for rank test statistics.

The method of maximum likelihood (ML) is widely used for analyzing generalized linear mixed models (GLMM's). A full maximum likelihood analysis requires numerical integration techniques for ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.