NDLI: Practical statistical analyses of simulation output data

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Keynote Address-Artificial Intelligence and simulation

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SLAM II tutorial

An interactive computer package for fitting probability distributions to observed data

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SIMSCRIPT II.5@@@@ tutorial

A tutorial on TESS: The extended simulation system

Introduction to simulation

Model development revisited

Discrete event simulation languages current status and future directions

Input data collection and analysis

Practical statistical analyses of simulation output data

Design of simulation experiments

On selecting the best of K systems: An expository survey of indifference-zone multinomial procedures

A tutorial on verification and validation of simulation models

Variance reduction in simulation

Continuous System Simulation Languages (CSSL's)

Micros vs. mainframes (Panel)

Analytic representation of simulation (Panel)

Validation (Panel)

What type of model: Analytic, simulation or hybrid simulation/analytic

Education (A panel session): Methodology vs. languages

Modeling of computer systems (Panel Session)

Physical vs computer simulation (Panel Session)

Graphics (Panel Session): Its role and limitations

Real-time simulation development issues (Panel Discussion)

Analytic representations of simulation

A random variate generation method useful in hybrid simulation/analytical modelling

Sample space definition

Perturbation analysis methods for discrete event dynamical systems and simulations

Approximating time-dependent non-exponential queues

Continuous simulation approximations to queueing networks

Some efficient random number generators for micro-computers

An exhaustive search for optimal multipliers

Use of lattice structures for reduction of simulation run time

A simulation optimization approach to optimum storage and retrieval policies in an automated warehousing system

Application of an optimization procedure to steady-state simulation

Simulation optimization for decision support in operating a robotic manufacturing system

Overlapping batch means: something for nothing?

Using operational analysis assumption errors

An empirical comparison of fourier and walsh spectra for system identification

Steady-state confidence interval methodology: A forum on theory, practice, and prospects

A computer package for ranking, selection, and multiple comparisons with the best

A multinomial ranking and selection procedure: Simulation and applications

Restricted subset selection for normal populations with unknown and unequal variances

Multivariate simulation output analysis: Past, present, and future

Multivariate output analysis in simulation: The state of the art

Establishing functional relationships in multiple response simulation: The multivariate general linear metamodel

Validation of simulation models: The weak/missing link

Changing management's view to simulation

Inclusion Of Cost Comparisons In Simulation Modeling For Improved Decision-Making

Presenting simulation results with TESS graphics

Graphical Description, Control Logic Development, Simulation Development, And Animated Display Of Material Handling Systems

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A simulation model for evaluating control algorithms of an automated storage/retrieval system

A simulation model and analysis: Integrating AGV's with non-automated material handling

An optimum-seeking approach to the design of automated storage/retrieval systems

Manufacturing modeling using RESQ

Quality modelling of assembly systems

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Digital and physical simulation of manufacturing systems

On the use of physical models to simulate assembly plant operations

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Physical simulation of flexible Manufacturing Systems

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Hierarchical decomposition and simulation of manufacturing cells

On the use of simulation in the design and installation of a power and free conveyor system

Effective industrial finishing systems design utilizing

Simulation vs. optimization in physical distribution planning

The role of computer simulation in the development of a new elevator product

User need satisfaction as a basis for evaluating cargo aircraft scheduling

A language-directed distributed discrete simulation system (Extended Abstract)

Asynchronous simulation of some discrete time models

Problem oriented protocol design

Implications of the Ada R environment for simulation studies

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Discrete event simulation in pascal with SIMTOOLS

Prolog as a simulation language

Framework of the decision support expert systems

Generalized model building within an integrated decision support system

A Simulation/optimization-based planning and decision support system

Simulation on microcomputers the development of a visual interactive modelling philosophy

Simulation programming using spreadsheet software

The user interface of GPSS/PC

Simulation of facility designs on a micro-computer

New directions for the design of advanced simulation systems

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Evaluation of the UNIX host for a model development environment

CACI NETWORKS II.5@@@@ a computer and communications network simulator

Modeling and analysis of Ethernet networks

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Topological optimization of an integrated circuit/packet-switched computer network

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A GPSS simulation to determine congestion in an ethernet type local area network

An introspective environment for knowledge based simulation

A multitasking implementation of system simulation: The emulation of an asynchronous parallel processor for system simulation using a single processor

A simulation model for aged and disabled services

Modeling the urban development process and the related transportation impacts

Simulation of physiological systems

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Simulation of the human mitral valve

Outpatient health care facility planning and sizing via computer simulation

Simulation modeling in health care facilities

Simulation models for army manpower requirements

A policy analysis for logistical support of multiple U.S. army contigency requirements

Modeling tactical communications with QSIM

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Practical statistical analyses of simulation output data

Content Provider	ACM Digital Library
Author	Law, Averill M.
Abstract	It has been our observation that in many simulation studies a large amount of time and money is spent on model development and programming, but little effort is made to analyze the simulation output data in an appropriate manner. As a matter of fact, a common mode of operation is to make a single simulation run of somewhat arbitrary length and then treat the resulting simulation estimates as being the “true” answers for the model. Since these estimates are observations of random variables which may have large variances, these estimates may, in a particular simulation run, differ greatly from the corresponding true answers. The net effect is, of course, that there may be a significant probability of making erroneous inferences about the system under study. One reason for the historical lack of definitive output data analyses is that simulation output data are rarely, if ever, independent. Thus, classical statistical analyses based on independent identically distributed observations are not directly applicable. At the present time, there are still several output analysis problems for which there is no completely accepted solution, and the solutions that do exist are often complicated to apply. Another impediment to getting accurate estimates of a model's true parameters or characteristics is the computer cost associated with collecting the necessary amount of simulation output data. Indeed, there are situations where an appropriate statistical procedure is available, but the cost of collecting the amount of data dictated by the procedure is prohibitive. We expect this latter problem to become less important as the cost of computer time continues to drop.
Starting Page	96
Ending Page	97
Page Count	2
File Format	PDF
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1984-01-01
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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