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CRC Press Introduction to Probability with Mathematica - Textbook

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£147.64 £34.33 £59.05 £83.77 £108.50 £133.22 £157.94 28 July 2026 15 August 2026 02 September 2026 20 September 2026 09 October 2026
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Price range: £45 - £148

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Description

Introduction to Probability with Mathematica, Second Edition by CRC Press provides a comprehensive guide to probabilistic modelling and data analysis using Mathematica 7.0. This textbook enables students to create simulations from templates and solve complex problems efficiently whilst developing a genuine understanding of probability theory. The second edition features an expanded section on Markov chains, including detailed coverage of absorbing chains, alongside new material designed to deepen student comprehension. The accompanying downloadable resources empower instructors to develop custom class notes, interactive demonstrations, and practical projects that bring probability concepts to life. Ideal for students seeking hands-on experience with computational probability methods, this used book in good condition combines theoretical foundations with practical Mathematica applications, making it an excellent resource for both classroom learning and independent study of probability and statistical modelling.

Key Features

Mathematica 7.0 integrated throughout the textbook enables students to create probability simulations from templates with ease.

Expanded coverage of Markov chains in the second edition includes comprehensive study of absorbing chains and their applications.

Downloadable resources accompany the textbook, allowing instructors to generate custom class notes and interactive demonstrations.

Practical problem-solving approach emphasizes real-world applications of probabilistic modelling and data analysis techniques.

Used book in good condition provides excellent value whilst maintaining the complete content and educational value of the second edition.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 September 2009
Listed Since
02 May 2008

Barcode

No barcode data available

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