
Introduction to Probability with Mathematica
Kevin J. Hastings(Author)
Chapman & Hall/CRC (Publisher)
2nd Edition
Published on 21. September 2009
Book
Hardback
466 pages
978-1-4200-7938-8 (ISBN)
Description
Updated to conform to Mathematica (R) 7.0, Introduction to Probability with Mathematica (R), Second Edition continues to show students how to easily create simulations from templates and solve problems using Mathematica. It provides a real understanding of probabilistic modeling and the analysis of data and encourages the application of these ideas to practical problems. The accompanyingdownloadable resources offer instructors the option of creating class notes, demonstrations, and projects.
New to the Second Edition
Expanded section on Markov chains that includes a study of absorbing chains
New sections on order statistics, transformations of multivariate normal random variables, and Brownian motion
More example data of the normal distribution
More attention on conditional expectation, which has become significant in financial mathematics
Additional problems from Actuarial Exam P
New appendix that gives a basic introduction to Mathematica
New examples, exercises, and data sets, particularly on the bivariate normal distribution
New visualization and animation features from Mathematica 7.0
Updated Mathematica notebooks on the downloadable resources.
After covering topics in discrete probability, the text presents a fairly standard treatment of common discrete distributions. It then transitions to continuous probability and continuous distributions, including normal, bivariate normal, gamma, and chi-square distributions. The author goes on to examine the history of probability, the laws of large numbers, and the central limit theorem. The final chapter explores stochastic processes and applications, ideal for students in operations research and finance.
New to the Second Edition
Expanded section on Markov chains that includes a study of absorbing chains
New sections on order statistics, transformations of multivariate normal random variables, and Brownian motion
More example data of the normal distribution
More attention on conditional expectation, which has become significant in financial mathematics
Additional problems from Actuarial Exam P
New appendix that gives a basic introduction to Mathematica
New examples, exercises, and data sets, particularly on the bivariate normal distribution
New visualization and animation features from Mathematica 7.0
Updated Mathematica notebooks on the downloadable resources.
After covering topics in discrete probability, the text presents a fairly standard treatment of common discrete distributions. It then transitions to continuous probability and continuous distributions, including normal, bivariate normal, gamma, and chi-square distributions. The author goes on to examine the history of probability, the laws of large numbers, and the central limit theorem. The final chapter explores stochastic processes and applications, ideal for students in operations research and finance.
Reviews / Votes
If you own the first edition, you will be very pleased with the second edition. It is more complete, better organized, and even more well-presented. If you don't own the first edition, and are looking for an effective tool for conveying probabilistic concepts, Hastings' book should certainly be one you consider. -Jane L. Harvill, The American Statistician, November 2011 Introduction to Probability with Mathematica adds computational exercises to the traditional undergraduate probability curriculum without cutting out theory. ... a good textbook for a class with a strong emphasis on hands-on experience with probability. ... One interesting feature of the book is that each set of exercises includes a few problems taken from actuarial exams. No doubt this will comfort students who are taking a probability course in hopes that it will prepare them for an actuarial exam. Another interesting feature is the discussion of the Central Limit Theorem. The book goes into an interesting discussion of the history of the theorem ... . -MAA Reviews, December 2009More details
Edition
2nd edition
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Academic and Professional Practice & Development
Product notice
Paper over boards
Illustrations
125 s/w Abbildungen
125 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
1030 gr
ISBN-13
978-1-4200-7938-8 (9781420079388)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Kevin J. Hastings
Introduction to Probability with Mathematica
Book
09/2019
2nd Edition
Chapman & Hall/CRC
€97.30
Shipment within 15-20 days

Kevin J. Hastings
Introduction to Probability with Mathematica
E-Book
09/2009
2nd Edition
Chapman and Hall
€89.99
Available for download

Kevin J. Hastings
Introduction to Probability with Mathematica
E-Book
09/2009
2nd Edition
Chapman & Hall/CRC
€89.99
Available for download
Previous edition

Kevin J. Hastings
Introduction to Probability with Mathematica
Book
11/2000
1st Edition
CRC Press
€109.12
Article exhausted; check for reprint
Person
Kevin J. Hastings is a professor of mathematics at Knox College in Galesburg, Illinois.
Content
Discrete Probability. Discrete Distributions. Continuous Probability. Continuous Distributions. Asymptotic Theory. Stochastic Processes and Applications. Appendix. References. Index.