£81.82

Wiley Simulation: A Modeler's Approach: 345 - Statistics Book

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£84.39 £73.21 £75.65 £78.09 £80.53 £82.97 £85.41 26 January 2026 03 February 2026 12 February 2026 20 February 2026 01 March 2026

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12 days 7 days 1 day · current 8 days 7 days 0 3 6 9 12 £74 £81 £82 £83 £84 Days at Price

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Price range: £74 - £84

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Description

Explore the future of science through computer modeling and simulation with this unique text from the Wiley Series in Probability and Statistics. Written by Rice Professor James Thompson, a leading modeler and computational statistician, this book provides an integrated treatment of simulation-based modeling methods. Thompson explains how anyone with a fast desktop computer can use these methods to create meaningful models of real phenomena. By integrating simulation directly into the modeling process, researchers and students can better understand complex systems. The text draws from a wealth of professional experience to provide practical context. Readers will find diverse examples that apply to various fields, including trading markets, oncology, epidemiology, and statistics. This book is designed for those looking to make the necessary shift toward simulation-based modeling in their scientific or statistical work. It serves as a comprehensive guide for understanding how to bridge the gap between theoretical statistics and practical computer simulation.

Key Features

Integrated approach to computer modeling and simulation that connects theoretical concepts with practical application.

Methods designed to be accessible to anyone using a fast desktop computer for statistical work.

Real-world examples covering diverse fields such as oncology, epidemiology, and trading markets.

Expert guidance from Rice Professor James Thompson, a recognized leader in computational statistics.

Part of the respected Wiley Series in Probability and Statistics for academic and professional use.

Product Specifications

Brand
Wiley
Format
Hardcover
Domain
Amazon UK
Release Date
30 November 1999
Listed Since
09 February 2007

Barcode

No barcode data available

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