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.

The correlation matrix from Kinzer and Kinzer (N=326) is used by Guttman (1957) as an example that yields an approximate simplex. McDonald (1980) uses this data set as an example of factor analysis ...

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.

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

Generalized linear models are widely used by data analysts. However, the choice of the link function is often made arbitrarily. Here we permit the data to estimate the link function by incorporating ...

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 ...

It only makes sense. I did linear regression in google docs and I did it for python. But what if you neither of those? Can you do it by hand? Why yes. Suppose I take the same data from the pylab ...

GCSE AQA Solving linear equations - AQA Equations and identities Forming, using and solving equations are skills needed in many different situations.