Prentice Hall, 2004. - 644 pages.
Presenting probability in a natural way, this book uses interesting, carefully selected instructive examples that explain the theory, definitions, theorems, and methodology.
Topics include: axioms of probability; combinatorial methods; conditional probability and independence; distribution functions and discrete random variables; special discrete distributions; continuous random variables; special continuous distributions; bivariate distributions; multivariate distributions; sums of independent random variables and limit theorems; stochastic processes; and simulation.
For anyone employed in the actuarial division of insurance companies and banks, electrical engineers, financial consultants, and industrial engineers.