The following post is going to derive the least squares estimator for
, which we will denote as
. In general start by mathematically formalizing relationships we think are present in the real world and write it down in a formula.
Continue reading Derivation of the Least Squares Estimator for Beta in Matrix Notation →
The binomial distribution is closely related to the Bernoulli distribution. In order to understand it better assume that
are i.i.d (independent, identical distributed) variables following a Bernoulli distribution with
and
.
Continue reading Binomial Distribution →
“In God we trust; all others must bring data.” W. Edwards Deming