I), Xi⩾ 0. The objective function minimizes (or maximizes) a linear function of the decision variables, for example total cost or total energy content of the diet.

Ever wonder what sorts of errors freshman math students make? There are a couple of pretty basic ones.

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

The linear response function, which could also be specified as RESPONSE MARGINALS, yields one probability, Pr (brand preference=M), as the response function to be analyzed.

In this problem, the optimal path is one that maximizes the expected utility, with the utility function being piecewise-linear and concave. Such a utility function can be used to approximate nonlinear ...

Indicator functions are constructed under the linear-quadratic parameterization for contrasts, and applied to the study of partial aliasing properties for three-level fractional factorial designs. An ...

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 ...