Open AccessBook
Simulation Modeling and Analysis
Averill M. Law,W. David Kelton +1 more
TLDR
The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.Abstract:
From the Publisher:
This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research.read more
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Journal ArticleDOI
Agent-based and analytical modeling to evaluate the effectiveness of greenbelts
TL;DR: How width and location of the greenbelt could help determine the effectiveness of greenbelts for slowing sprawl is suggested, but that these relationships are sensitive to the patterns of landscape aesthetic quality and assumptions about service center locations.
Journal ArticleDOI
Stationarity detection in the initial transient problem
TL;DR: Positive and negative results indicate that the tail of the distribution of the Distribution of the cycle length τ
Journal ArticleDOI
Human resources for treating HIV/AIDS: needs, capacities, and gaps.
TL;DR: The model quantifies the challenge of closing the HRHA gap in LMIC and suggests that universal ART coverage is unlikely to be achieved and sustained with increased HRHA inflows alone, but will require decreased HRHA outflows, substantially reduced HIV incidence, or changes in the nature of care.
Book
Voter Turnout: A Social Theory of Political Participation
TL;DR: The authors developed and empirically tested a social theory of political participation and showed that the standard demographic variables are not proxies for variation in individual costs and benefits of participation, but for systematic variation in the patterns of social ties between potential voters.
Proceedings ArticleDOI
Factors affecting the performance of ad hoc networks
TL;DR: This study isolates and quantifies the effects of five factors: node speed, pause-time, network size, number of traffic sources, and type of routing (source versus distributed), that affect the performance of ad hoc networks and evaluates the impact of these factors on the following performance metrics.