Format:
XII, 310 S. :
,
Ill., graph Darst.
Edition:
5. ed.
ISBN:
978-0-12-415825-2
Content:
"In formulating a stochastic model to describe a real phenomenon, it used to be that one compromised between choosing a model that is a realistic replica of the actual situation and choosing one whose mathematical analysis is tractable. That is, there did not seem to be any payoff in choosing a model that faithfully conformed to the phenomenon under study if it were not possible to mathematically analyze that model. Similar considerations have led to the concentration on asymptotic or steady-state results as opposed to the more useful ones on transient time. However, the relatively recent advent of fast and inexpensive computational power has opened up another approach--namely, to try to model the phenomenon as faithfully as possible and then to rely on a simulation study to analyze it"--
Note:
Includes bibliographical references and index
Language:
English
Subjects:
Computer Science
,
Mathematics
Keywords:
Wahrscheinlichkeitsrechnung
;
Computersimulation
;
Monte-Carlo-Simulation
;
Simulation
URL:
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026795025&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
URL:
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026795025&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Author information:
Ross, Sheldon M., 1943-