Journal ArticleDOI
A Guide to Simulation.
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TLDR
Despite the brevity of the book, its mathematical notation, and the problems which it poses without solutions, the textbook is imbued with a feeling for theitty-gritty practical aspects of simulation.Abstract:
Bratley, Fox, and Schrage’s A Guide to Simulation provides practical recommendations for both the novice and the experienced simulationist, without insulting the reader’s intelligence. It does this with a text that is readable, mathematically precise, and comprehensive enough so that it touches on the majority of concerns which arise in a simulation project. Despite the brevity of the book (only 287 pages of text), its mathematical notation, and the problems which it poses without solutions, the textbook is imbued with a feeling for the &dquo;nitty-gritty&dquo; practical aspects of simulation. The authors generously present many helpful hints, suggestions, recommendations, and caveats gleaned from practical experience.read more
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Journal ArticleDOI
Markov Chains for Exploring Posterior Distributions
TL;DR: Several Markov chain methods are available for sampling from a posterior distribution as discussed by the authors, including Gibbs sampler and Metropolis algorithm, and several strategies for constructing hybrid algorithms, which can be used to guide the construction of more efficient algorithms.
Journal ArticleDOI
Bayesian analysis of binary and polychotomous response data
Jim Albert,Siddhartha Chib +1 more
TL;DR: In this paper, exact Bayesian methods for modeling categorical response data are developed using the idea of data augmentation, which can be summarized as follows: the probit regression model for binary outcomes is seen to have an underlying normal regression structure on latent continuous data, and values of the latent data can be simulated from suitable truncated normal distributions.
Journal ArticleDOI
Benchmarks for basic scheduling problems
TL;DR: This paper proposes 260 randomly generated scheduling problems whose size is greater than that of the rare examples published, and the objective is the minimization of the makespan.
Book
Simulation for the Social Scientist
Nigel Gilbert,Klaus G. Troitzsch +1 more
TL;DR: Social scientists in a wide range of fields will find this book an essential tool for research, particularly in sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science, and it will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.
Book
Theory and practice of uncertain programming
TL;DR: This book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem.