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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques
Foundations and Methods of Stochastic Simulation
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Type: BOOK - Published: 2013-01-31 - Publisher: Springer Science & Business Media

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This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation
Monte Carlo Simulation in Statistical Physics
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When learning very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "realiife" problem, the passivity of
The Foundations of Statistics: A Simulation-based Approach
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Authors: Shravan Vasishth
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Type: BOOK - Published: 2010-11-11 - Publisher: Springer Science & Business Media

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Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when fa
Monte Carlo Simulation and Resampling Methods for Social Science
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Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bia