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Revival: Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical;

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Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical;

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Statistics and Simulation

This volume features original contributions and invited review articles on mathematical statistics, statistical simulation and experimental;

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Elements of Simulation

This book provides a guide to the elements of simulation in statistics, which will include developments and which may be used either as a;

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Elements of Simulation

This book provides a guide to the elements of simulation in statistics, which will include developments and which may be used either as a;

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Simulation and Robust Statistics

This book addresses the topics statistical simulation and robust estimation. It is accompanied by several software packages for the open;

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Simulation and Monte Carlo

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational;

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Simulation and Monte Carlo

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational;

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Statistics, Data Analysis And Decision Modeling

control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization;

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Discrete-Event System Simulation

of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus;

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Discrete-Event System Simulation

Appropriate for junior- senior-level Simulation courses in departments of Engineering, Management and Computer Science; or a second course;

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Performance Evaluation by Simulation and Analysis with Applications to Computer Networks

This book is devoted to the most used methodologies for performance evaluation: simulation using specialized software and mathematical;

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Crafts Of Simulation Programming

Crafts of Simulation Programs is a collection of tools, techniques and theories required to develop and implement simulation models on a;

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Handbook of Real-World Applications in Modeling and Simulation

Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing;

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Probability, Statistics, and Stochastic Processes

on to present limit theorems and simulation. The authors combine a rigorous, calculus-based development of theory with an intuitive approach;

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Cambridge Computer Science Texts

simulation program should do what its author intends and do it efficiently. The other is concerned with the collection and analysis of data;

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Cambridge Computer Science Texts

simulation program should do what its author intends and do it efficiently. The other is concerned with the collection and analysis of data;

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Process Simulation Using Witness

Teaches basic and advanced modeling and simulation techniques to both undergraduate and postgraduate students and serves as a practical;

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Python for MATLAB Development

of computational problems in science, engineering, optimization, statistics, finance, and simulation.;

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Introducing Monte Carlo Methods with R

statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use;

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Applied Simulation

, mining, healthcare, transportation, retail, distribution, and more. While traditional simulation texts focus on simulation theory, this book;

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Modern Simulation And Modeling

A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems;

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Modeling And Simulation Fundamentals

An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become;

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Mathematical Statistics with Applications

includes an enhanced eTextbook. Simulation activities using interactive applets and R embedded within the MindTap Reader help students visualize;

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Perfect Simulation

from interacting distributions. Perfect Simulation illustrates the application of perfect simulation ideas and algorithms to a wide;

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Probability, Statistics, and Reliability for Engineers and Scientists

progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a;

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Analyzing Data Through Probabilistic Modeling in Statistics

, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many;

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