Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).

A continuous r. v. can only hypothetically assume any value on a continuum. When only an approximating discrete r. v. ("discretization") is observable, estimation procedures employing the hypothetical ...

The second part in the Mathematical Foundations of Computer Science (MFCS) sequence covers mathematical topics of probability, linear algebra, multivariable calculus and basic optimization that are ...

In connection with a random vector (X, Y) in the unit square Q and a couple (m, n) of positive integers, we consider all discretizations of the continuous probability distribution of (X, Y) that are ...

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Covariance: a measure of the direction of the linear relationship between two variables. Discrete ...