# Introduction to Probability: Models and Applications

131,65€

ISBN: 9781118548714
DRM Restrictions

Printing 187 pages with an additional page accrued every 4 hours, capped at 187 pages 5 excerpts

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, discuss the appropriate statistical methods, and explain how these models fit into the data presented. To aid in understanding, the book presents many real-world exercises and solutions that appear after each section within a chapter. A wide-range of topics are covered that include concepts of probability, univariate discrete distribution, univariate continuous distributions, bivariate discrete random variables, bivariate continuous random variables, stochastic independence-multivariate random variables, and many more. Designed as a useful guide, the text contains theory of probability, definitions, charts, examples, illustrations, problems and solutions, 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 Matlab software to illustrate the text’s computer exercises
• Features applications representing worldwide situations and processes
• Offers a Student Solutions Manual that contains select solutions to numerous exercises found in the book

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.

Keywords:

Guide Probability: text on probability; understanding probability; resource to probability; probability models; probability applications; concepts of probability; chance experiments; probability as relative frequency; axiomatic definition of probability; properties of probability; continuity property of probability; basic concepts of probability; main principles of counting; the binomial theorem; true and false questions; multiple choice questions; conditional probability; the multiplicative law of probability; the law of total probability; the law of total probability; Baye’s formula; discrete random variable and distributions; random variables; distribution functions; expectation of a discrete random variable; variance of discrete random variables; some results for expectation and variance; basic probability concepts and formulas

, Probability & Mathematical Statistics, Applied Probability & Statistics - Models, Probability & Mathematical Statistics, Applied Probability & Statistics - Models
Author(s)

Publisher
John Wiley and Sons, Inc.
Publication year
2020
Language
en
Edition
1
Series
Wiley Series in Probability and Statistics
Page amount
624 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9781118548714
Printed ISBN
9781118123348

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