This modern text is the first to unify stochastic modeling, analysis, and simulation, using the discrete event-sample-path view. The objective is to formulate models of dynamic stochastic systems in terms of systems inputs and logic, using the power of simulation. Markovian processes are emphasized. Examples will be coded in SLAM, SIMAN, Fortran, and C. Intended for courses in operations research, I.E. and management science.

Stochastic Modeling, Analysis and Simulation

Science & Math

Nelson, Barry L.

Mathematics

Mcgraw-Hill College

This book provides a basic treatment of discrete-event simulation, one of the most widely used operations research and management science tools for dealing with system design in the presence of uncertainty. Proper collection and analysis of data, use of analytic techniques, verification and validation of models and the appropriate design of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus, probability theory and elementary statistics. Includes simulation in C++, the latest versions of the most widely used packages, and features of simulation output analysis software. Covers properties, modeling and random-variate generation from the lognormal distribution. Clarifies the difficult distinctions between terminating and steady-state simulation, and between within- and across-replication statistics. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Emphasizes the hierarchical nature of computing systems, and how simulation techniques vary, depending on the level of abstraction. For readers wanting to learn more about system simulation.

Discrete-Event System Simulation (3rd Edition)

Engineering & Transportation

Carson, John S., II

Nicol, David M.

Engineering

PRENTICE/HALL

This book provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Includes numerous solved examples. Offers an integrated website. Explains how to interpret simulation software output. For those interested in learning more about discrete-event simulation.

Discrete-Event System Simulation

Computers & Technology

This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Proper collection and analysis of data, use of analytic techniques, verification and validation of models, and an appropriate design of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus, probability theory and elementary statistics. The Second Edition reorganises, updates and expands coverage to reflect the most recent developments.

Banks, Jerry

Physics

Pearson College Div

A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Suitable for advanced undergraduates and graduate-level industrial engineers and management science majors, it proposes modeling systems in terms of their simulation, regardless of whether simulation is employed for analysis. Beginning with a view of the conditions that permit a mathematical-numerical analysis, the text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. Programming language–independent algorithms appear for all simulation and numerical procedures.

Stochastic Modeling: Analysis & Simulation

Dover Publications

A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Suitable for advanced undergraduates and graduate-level industrial engineers and management science majors, it proposes modeling systems in terms of their simulation, regardless of whether simulation is employed for analysis. Beginning with a view of the conditions that permit a mathematical-numerical analysis, the text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. Programming language–independent algorithms appear for all simulation and numerical procedures.

Stochastic Modeling: Analysis and Simulation (Dover Books on Mathematics)

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.

Foundations and Methods of Stochastic Simulation: A First Course (International Series in Operations Research & Management Science, 316)

Business & Money

Pei, Linda

Management & Leadership

Springer

Foundations and Methods of Stochastic Simulation: A First Course (International Series in Operations Research & Management Science)

See the best price to sell, buy, or rent books by Nelson, Barry L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Nelson, Barry L.

See the best price to sell, buy, or rent books by Nelson, Barry L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Stochastic Modeling, Analysis and Simulation

Discrete-Event System Simulation (3rd Edition)

Discrete-Event System Simulation

Discrete-Event System Simulation

Stochastic Modeling: Analysis & Simulation

Stochastic Modeling: Analysis and Simulation (Dover Books on Mathematics)

Foundations and Methods of Stochastic Simulation: A First Course (International Series in Operations Research & Management Science, 316)

Foundations and Methods of Stochastic Simulation: A First Course (International Series in Operations Research & Management Science)