(Wiley Series in Probability and Statistics) 1st Edition
by N. Balakrishnan (Author), Markos V. Koutras (Author), Konstadinos G. Politis (Author)
An essential guide to the concepts of probability theory that puts the focus on models and applications
Introduction to Probability
offers an authoritative text that presents the main ideas and concepts,
as well as the theoretical background, models, and applications of
probability. The authors—noted experts in the field—include a review
of problems where probabilistic models naturally arise, and discuss the
methodology to tackle these problems.
A wide-range of topics are
covered that include the concepts of probability and conditional
probability, univariate discrete distributions, univariate continuous
distributions, along with a detailed presentation of the most important
probability distributions used in practice, with their main properties
and applications.
Designed as a useful guide, the text contains
theory of probability, de finitions, charts, examples with solutions,
illustrations, self-assessment exercises, computational exercises,
problems and a glossary. This important text:
• Includes classroom-tested problems and solutions to probability exercises
• Highlights real-world exercises designed to make clear the concepts presented
• Uses Mathematica software to illustrate the text’s computer exercises
• Features applications representing worldwide situations and processes
•
Offers two types of self-assessment exercises at the end of each
chapter, so that students may review the material in that chapter and
monitor their progress.
Written for students majoring in
statistics, engineering, operations research, computer science, physics,
and mathematics, Introduction to Probability: Models and Applications
is an accessible text that explores the basic concepts of probability
and includes detailed information on models and applications.
