Title: Simulation and Monte Carlo: With Applications in Finance and MCMC / Edition 1, Author: J. S. Dagpunar
Title: Randomization, Bootstrap and Monte Carlo Methods in Biology / Edition 3, Author: Bryan F. J. Manly
Title: Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition / Edition 2, Author: Dani Gamerman
Title: Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel / Edition 1, Author: Humberto Barreto
Title: Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel, Author: Humberto Barreto
Title: Quantitative Analysis in Nuclear Medicine Imaging / Edition 1, Author: Habib Zaidi
Title: Nonparametric Monte Carlo Tests and Their Applications / Edition 1, Author: Li-Xing Zhu
Title: Bayesian Models for Categorical Data / Edition 1, Author: Peter Congdon
Title: Monte Carlo Statistical Methods / Edition 2, Author: Christian Robert
Title: The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning / Edition 1, Author: Reuven Y. Rubinstein
Title: A Monte Carlo Primer: Volume 2 / Edition 1, Author: Stephen A. Dupree
Title: Introduction to Monte-Carlo Methods for Transport and Diffusion Equations, Author: B. Lapeyre
Title: Dealmaking: Using Real Options and Monte Carlo Analysis / Edition 1, Author: Richard Razgaitis
Title: Monte Carlo Methods in Financial Engineering / Edition 1, Author: Paul Glasserman
Title: Hierarchical Device Simulation: The Monte-Carlo Perspective / Edition 1, Author: Christoph Jungemann
Title: Random Number Generation and Monte Carlo Methods / Edition 2, Author: James E. Gentle
Title: Electron-Beam Interactions with Solids: Application of the Monte Carlo Method to Electron Scattering Problems / Edition 1, Author: Maurizio Dapor
Title: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction / Edition 2, Author: Gerhard Winkler
Title: Importance Sampling: Applications in Communications and Detection / Edition 1, Author: Rajan Srinivasan
Title: Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics / Edition 1, Author: Daniel Sorensen

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