Probability models and applications

By Ingram OlkinCyrus DermanLeon Jay Gleser, et al.

Book Overview

Written by renowned experts in the field, this reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical applications. It includes many examples, with actual data, of real-world use of probability models, while expositing the mathematical theory of probability at an introductory calculus-based level. Detailed descriptions of the properties and applications of probability models that have successfully modeled real phenomena are given, as well as an explanation of methods for testing goodness of fit of these models. Readers will receive a firm foundation in techniques for deriving distributions of various summaries of data that will prepare them for subsequent studies of statistics, as well as a solid grounding in concepts such as that of conditional probability that will prepare them for more advanced courses in stochastic processes.

• Format: Hardcover
• Language: English
• ISBN: 9813202033
• ISBN13: 9789813202030
• Release Date: September 2019
• Publisher: World Scientific Publishing Company
• Length: 732 Pages
• Weight: 3.25 lbs.
• Dimensions: 1.6" x 7.0" x 10.0"

Customer Reviews

Excellent - but not for the faint of heart

I used this text when I was getting my degree in Operations Research at Naval Postgraduate School. While it is a first year book, it is very heavy reading. Out of all of the probability books I've seen - this one has the most real-life illustrations of how probablity models are used.