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

We suggest reducing the design matrix to row echelon form as a means of finding the structure of all estimable functions. We illustrate the procedure with two examples.

Let Ω ⊂ ℝp, p ϵ ℕ* be a nonempty subset and B (Ω) be the Branch lattice of all bounded real functions on a Ω, equipped with sup norm. Let 𝑋 ⊂ 𝐵 (Ω) be a linear sublattice of 𝐵 (Ω) and 𝐴: 𝑋 → 𝑋 ...

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 ...