Markov Chain Monte Carlo Simulations And Their Statistical Analysis With Web Based Fortran Code
Download Markov Chain Monte Carlo Simulations And Their Statistical Analysis With Web Based Fortran Code PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Markov Chain Monte Carlo Simulations And Their Statistical Analysis With Web Based Fortran Code book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Markov Chain Monte Carlo Simulations And Their Statistical Analysis: With Web-based Fortran Code
Author: Bernd Albert Berg
language: en
Publisher: World Scientific Publishing Company
Release Date: 2004-10-01
This book teaches modern Markov chain Monte Carlo (MC) simulation techniques step by step. The material should be accessible to advanced undergraduate students and is suitable for a course. It ranges from elementary statistics concepts (the theory behind MC simulations), through conventional Metropolis and heat bath algorithms, autocorrelations and the analysis of the performance of MC algorithms, to advanced topics including the multicanonical approach, cluster algorithms and parallel computing. Therefore, it is also of interest to researchers in the field. The book relates the theory directly to Web-based computer code. This allows readers to get quickly started with their own simulations and to verify many numerical examples easily. The present code is in Fortran 77, for which compilers are freely available. The principles taught are important for users of other programming languages, like C or C++.
Markov Chain Monte Carlo Simulations and Their Statistical Analysis
This book teaches modern Markov chain Monte Carlo (MC) simulation techniques step by step. The material should be accessible to advanced undergraduate students and is suitable for a course. It ranges from elementary statistics concepts (the theory behind MC simulations), through conventional Metropolis and heat bath algorithms, autocorrelations and the analysis of the performance of MC algorithms, to advanced topics including the multicanonical approach, cluster algorithms and parallel computing. Therefore, it is also of interest to researchers in the field. The book relates the theory directly to Web-based computer code. This allows readers to get quickly started with their own simulations and to verify many numerical examples easily. The present code is in Fortran 77, for which compilers are freely available. The principles taught are important for users of other programming languages, like C or C++.
Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection
Provides statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covers topics such as network traffic data, anomaly intrusion detection, and prediction events.