Updated to conform to Mathematica 7.0, Introduction to
Probability with Mathematica, 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 accompanying
CD-ROM offers 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 CD-ROM
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.
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