Probability theory is one branch of mathematics that is simultaneously
deep and immediately applicable in diverse areas of human endeavor. It
is as fundamental as calculus. Calculus explains the external world, and
probability theory helps predict a lot of it. In addition, problems in
probability theory have an innate appeal, and the answers are often
structured and strikingly beautiful. A solid background in probability
theory and probability models will become increasingly more useful in
the twenty-?rst century, as dif?cult new problems emerge, that will
require more sophisticated models and analysis. Thisisa text onthe
fundamentalsof thetheoryofprobabilityat anundergraduate or ?rst-year
graduate level for students in science, engineering, and economics. The
only mathematical background required is knowledge of univariate and
multiva- ate calculus and basic linear algebra. The book covers all of
the standard topics in basic probability, such as combinatorial
probability, discrete and continuous distributions, moment generating
functions, fundamental probability inequalities, the central limit
theorem, and joint and conditional distributions of discrete and
continuous random variables. But it also has some unique features and a
forwa- looking feel