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Simulation Modeling and Analysis

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.

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Decision Making in Health and Medicine: Integrating Evidence and Values

TL;DR: This text takes a proactive, systematic and rational approach to medical decision making and provides an essential resource for trainees and researchers involved in medical decision modelling, evidence-based medicine, clinical epidemiology, comparative effectiveness, public health, health economics, and health technology assessment.
Proceedings ArticleDOI

Extracting a Mobility Model from Real User Traces

TL;DR: A method to estimate the physical location of users from a large trace of mobile devices associating with access points in a wireless network is presented and it is discovered that the speed and pause time each follow a log-normal distribution and that the direction of movements closely reflects thedirection of roads and walkways.
Journal ArticleDOI

State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments

TL;DR: This paper discusses a toolkit of designs for simulationists with limited DOE expertise who want to select a design and an appropriate analysis for their computational experiments and provides a research agenda listing problems in the design of simulation experiments that require more investigation.
Journal ArticleDOI

Model transparency and validation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7

TL;DR: Recommendations for achieving transparency and validation are described, developed by a task force appointed by the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Society for Medical Decision Making (SMDM).
Journal ArticleDOI

Error and uncertainty in modeling and simulation

TL;DR: A general framework for identifying error and uncertainty in computational simulations that deal with the numerical solution of a set of partial differential equations (PDEs) is developed, applicable to any numerical discretization procedure for solving ODEs or PDEs.