t](e) is a

discrete random variable for all t [member of] T and continuous-state if [X.

Define the vector b(l, [Delta]) corresponding to the

discrete random variable B(L, [Delta]) taking values [b.

In the case where X is a

discrete random variable, it can be easily seen that

Probability density function (pdf) A discrete pdf assigns a probability to each possible outcome of the

discrete random variable.

If the set of values that X takes is at most countable, then X is a

discrete random variable, if it is an interval in [?

He covers the basics of probability, counting problems, conditional probability and independence, expected value and variance,

discrete random variables, and a wide variety of other related subjects over the course of the bookAEs eight chapters and three appendices.

Among the topics are

discrete random variables and probability distributions, joint probability distributions and random samples, tests of hypotheses based on a single sample, simple linear regression and correlation, and distribution-free procedures.

The text begins with sets and functions, then covers combinatorics, probability, conditional probability,

discrete random variables, and densities.

n)n [greater than or equal to]1] be a sequence of

discrete random variables supported by N, with associated probability generating functions [p.