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Publikation: Teil einer Monographie/eines Konferenzbandes

Probabilistic population projection with James II


Grunddaten

Titel Probabilistic population projection with James II
Veröffentlicht in Proceedings of the 2009 Winter Simulation Conference (WSC) : 13 - 16 Dec. 2009, Austin, Texas, U.S.A. ; inclusion of MASM (Modeling and analysis of semiconductor manufacturing) .... - Piscataway, NJ : IEEE
Erscheinungsjahr 2009
Seiten (von – bis) 2008 – 2019
Jahr 2009
Publikationsform Elektronische Ressource
Publikationsart Teil einer Monographie/eines Konferenzbandes
Sprache Englisch
DOI 10.1109/WSC.2009.5429715
Letzte Änderung 17.05.2019 16:08:18
Bearbeitungsstatus durch UB Rostock abschließend validiert
Dauerhafte URL http://purl.uni-rostock.de/fodb/pub/32332
Links zu Katalogen Diese Publikation in der Universitätsbibliographie Diese Publikation im GBV-Katalog

Abstract

Predicting future populations and their structure is a central theme in demography. It is related to public health issues, political decision-making, or urban planning. Since these predictions are concerned with the evolution of a complex system, they exhibit a considerable uncertainty. Accounting for this inherent uncertainty is crucial for subsequent decision processes, as it reveals the range of possible outcomes and their likelihood. Consequently, probabilistic prediction approaches emerged over the past decades. This paper describes the probabilistic population projection model (PPPM), a recently developed method that allows detailed projections, but has a complex structure and requires much input data. We discuss the development of P3J, a tool that helps users in managing and executing projections and is built on top of the simulation system JAMES II. We outline how even specific tools like P3J profit from general-purpose simulation frameworks like JAMES II, and illustrate its usage by a simple example.

Autoren

Bohk, Christina
Ewald, Roland
Uhrmacher, Adelinde Link zur UB Rostock Link zum GBV-Katalog

Externer Link

Beschreibung Link
Link zur Online-Ressource http://dx.doi.org/10.1109/WSC.2009.5429715

Einrichtung

IEF/Bereich Informatik