Introduction to Discrete Event Simulation and Agent-based Modeling: Voting Systems, Health Care, Military, and Manufacturing - Image 1

£46.37

Springer Introduction to Discrete Event Simulation and Agent-based Modeling: Voting Systems, Health Care, Military, and Manufacturing

Name: Introduction to Discrete Event Simulation and Agent-based Modeling: Voting Systems, Health Care, Military, and Manufacturing
Brand: Springer
Price: 46.37 GBP
Availability: InStock

Managers' Guides to Computing

Same price for 4 weeks. Today is much like next week.

£46 for 30 days straight · last change was Jan 2026

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 625 days • 625 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 625 days • 9 price levels

Days at Price

Current Price

Price Analysis

Most common price: £44 (309 days, 49.4%)

Price range: £16 - £50

Price levels: 9 different prices over 625 days

Description

Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1447157257
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Publication Date: 20 August 2014
Listed Since: 22 August 2014

Barcode

No barcode data available

Springer Introduction to Discrete Event Simulation and Agent-based Modeling: Voting Systems, Health Care, Military, and Manufacturing

Same price for 4 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Modeling and Simulation Fundamentals: Theoretical Underpinnings and Practical Domains

Modern Simulation and Modeling: 325 (Wiley Series in Probability and Statistics)

Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes

Guide to Simulation-Based Disciplines: Advancing Our Computational Future (Simulation Foundations, Methods and Applications)

Discrete and Continuous Simulation: Theory and Practice

Advances in Modeling and Simulation: Seminal Research from 50 Years of Winter Simulation Conferences (Simulation Foundations, Methods and Applications)

Simulation: The Practice of Model Development and Use

Discrete and Continuous Simulation: Theory and Practice

Guide to Modeling and Simulation of Systems of Systems (Simulation Foundations, Methods and Applications)

Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives (Simulation Foundations, Methods and Applications)

Hybrid Modeling and Simulation: Conceptualizations, Methods and Applications (Simulation Foundations, Methods and Applications)

Springer - Use Cases of Discrete Event Simulation Book

Discrete Event Simulation: A Practical Approach: 4 (Computer Science & Engineering)

Experimental Statistical Designs and Analysis in Simulation Modeling

Advances in Social Simulation: Proceedings of the 15th Social Simulation Conference: 23–27 September 2019 (Springer Proceedings in Complexity)

Simulation and Monte Carlo: With Applications in Finance and MCMC (Wiley Series in Probability and Statistics)

Real-Time Simulation Technologies: Principles, Methodologies, and Applications: Principles, Methodologies, and Applications (Computational Analysis, Synthesis, and Design of Dynamic Systems)

Real-Time Simulation Technologies: Principles, Methodologies, and Applications (Computational Analysis, Synthesis, and Design of Dynamic Systems)

Simulation and Modeling Methodologies, Technologies and Applications: 10th International Conference, SIMULTECH 2020 Lieusaint - Paris, France, July ... (Lecture Notes in Networks and Systems, 306)

Simulation and Statistics with Excel: An Introduction to Business Students

Springer Strategies for Quasi-Monte Carlo - Operations Research

Keep Simulation Simple: Direct - Simple - Practical

Guide to Simulation-Based Disciplines: Advancing Our Computational Future (Simulation Foundations, Methods and Applications)

Building Software for Simulation: Theory and Algorithms, with Applications in C++