Foundations and methods of stochastic simulation : a first course / Barry L. Nelson, Linda Pei.
Nelson, Barry L., author.; Pei, Linda, author.
2021
QA274.2
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Foundations and methods of stochastic simulation : a first course / Barry L. Nelson, Linda Pei.
Author
Nelson, Barry L., author.
Edition
Second edition.
ISBN
9783030861940 (electronic bk.)
3030861945 (electronic bk.)
9783030861933
DOI
https://doi.org/10.1007/978-3-030-86194-0
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (xvi, 313 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-86194-0 doi
Call Number
QA274.2
Dewey Decimal Classification
519.2/2
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 15, 2021).
Added Author
Pei, Linda, author.
Series
International series in operations research & management science ; v. 316. 2214-7934
Available in Other Form
Print version: 9783030861933
Print version: 9783030861957
Print version: 9783030861964
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Chapter 1: Why Do We Simulate
Chapter 2: Simulation Programming: Quick Start
Chapter 3: Examples
Chapter 4: Simulation Programming with PythonSim
Chapter 5: Three Views of Simulation
Chapter 6: Simulation Input
Chapter 7: Simulation Output
Chapter 8: Experiment Design and Analysis
Chapter 9: Simulation Optimization and Sensitivity
Chapter 10: Simulation for Research
References
Index.

Browse Subjects

Show more subjects...

Statistics

from
to
Export