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Introduction to Probability with Mathematica (Paperback, 2nd edition)
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Introduction to Probability with Mathematica (Paperback, 2nd edition)
Expected to ship within 12 - 17 working days
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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.
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