Essentials of Monte Carlo simulation: statistical methods for building simulation models
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2013
|
| Online-Zugang: | UBY01 Volltext Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781461460213 9781461460220 |
| DOI: | 10.1007/978-1-4614-6022-0 |
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Datensatz im Suchindex
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| adam_text | ESSENTIALS OF MONTE CARLO SIMULATION
/ THOMOPOULOS, NICK T.
: 2013
ABSTRACT / INHALTSTEXT
ESSENTIALS OF MONTE CARLO SIMULATION FOCUSES ON THE FUNDAMENTALS OF
MONTE CARLO METHODS USING BASIC COMPUTER SIMULATION TECHNIQUES. THE
THEORIES PRESENTED IN THIS TEXT DEAL WITH SYSTEMS THAT ARE TOO COMPLEX
TO SOLVE ANALYTICALLY. AS A RESULT, READERS ARE GIVEN A SYSTEM OF
INTEREST AND CONSTRUCTS USING COMPUTER CODE, AS WELL AS ALGORITHMIC
MODELS TO EMULATE HOW THE SYSTEM WORKS INTERNALLY. AFTER THE MODELS ARE
RUN VERY MANY TIMES, IN A RANDOM SAMPLE WAY, THE DATA FOR EACH OUTPUT
VARIABLE(S) OF INTEREST IS ANALYZED BY ORDINARY STATISTICAL METHODS.
THIS BOOK FEATURES 11 COMPREHENSIVE CHAPTERS, AND DISCUSSES SUCH KEY
TOPICS AS RANDOM NUMBER GENERATORS, MULTIVARIATE RANDOM VARIATES, AND
CONTINUOUS RANDOM VARIATES. MORE THAN 100 NUMERICAL EXAMPLES ARE
PRESENTED IN THE CHAPTERS TO ILLUSTRATE USEFUL REAL WORLD APPLICATIONS.
THE TEXT ALSO CONTAINS AN EASY TO READ PRESENTATION WITH MINIMAL USE OF
DIFFICULT MATHEMATICAL CONCEPTS. WITH A STRONG FOCUS IN THE AREA OF
COMPUTER MONTE CARLO SIMULATION METHODS, THIS BOOK WILL APPEAL TO
STUDENTS AND RESEARCHERS IN THE FIELDS OF MATHEMATICS AND STATISTICS.
NICK T. THOMOPOULOS IS A PROFESSOR EMERITUS AT THE ILLINOIS INSTITUTE OF
TECHNOLOGY. HE IS THE AUTHOR OF SIX BOOKS, INCLUDING FUNDAMENTALS OF
QUEUING SYSTEMS (2012). HE HAS MORE THAN 100 PUBLISHED PAPERS AND
PRESENTATIONS TO HIS CREDIT, AND FOR MANY YEARS, HE HAS CONSULTED IN A
WIDE VARIETY OF INDUSTRIES IN THE UNITED STATES, EUROPE, AND ASIA. HE
HAS BEEN THE RECIPIENT OF NUMEROUS HONORS, SUCH AS THE RIST PRIZE IN
1972 FROM THE MILITARY OPERATIONS RESEARCH SOCIETY FOR NEW DEVELOPMENTS
IN QUEUING THEORY, THE DISTINGUISHED PROFESSOR AWARD IN BANGKOK,
THAILAND IN 2005 FROM THE IIT ASIAN ALUMNI ASSOCIATION, AND THE
PROFESSIONAL ACHIEVEMENT AWARD IN 2009 FROM THE IIT ALUMNI ASSOCIATION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
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| language | English |
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| spelling | Thomopoulos, Nicholas T. Verfasser aut Essentials of Monte Carlo simulation statistical methods for building simulation models Nick T. Thomopoulos New York, NY [u.a.] Springer 2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier https://doi.org/10.1007/978-1-4614-6022-0 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025743316&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Thomopoulos, Nicholas T. Essentials of Monte Carlo simulation statistical methods for building simulation models |
| title | Essentials of Monte Carlo simulation statistical methods for building simulation models |
| title_auth | Essentials of Monte Carlo simulation statistical methods for building simulation models |
| title_exact_search | Essentials of Monte Carlo simulation statistical methods for building simulation models |
| title_full | Essentials of Monte Carlo simulation statistical methods for building simulation models Nick T. Thomopoulos |
| title_fullStr | Essentials of Monte Carlo simulation statistical methods for building simulation models Nick T. Thomopoulos |
| title_full_unstemmed | Essentials of Monte Carlo simulation statistical methods for building simulation models Nick T. Thomopoulos |
| title_short | Essentials of Monte Carlo simulation |
| title_sort | essentials of monte carlo simulation statistical methods for building simulation models |
| title_sub | statistical methods for building simulation models |
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