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Modeling and simulation / Pratiksha Saxena.

By: Material type: TextTextPublication details: New Delhi : Narosa Publication 2011.Description: xviii,( 1..V unpaged ) (R 15 SH 3)ISBN:
  • 1842659308 (hardcover)
  • 9781842659304 (hardcover)
DDC classification:
  • 004.22
Online resources: Summary: Modeling and Simulation is designed for students of engineering and computer application courses as well as for operations research specialist, system analyst. Modeling and Simulation provides basic knowledge in the use of simulation techniques in a simple and approachable way. Introduction to discrete-event simulation with coverage of computer and statistical issues are the main features. Mathematical treatment of the theory is combined with programmed examples of how to put the theory into proper practice. This book emphasises on a complete overview of computer simulation and its application. It also provides indepth discussion of different types of simulation models, like inventory and queuing. It also presents aspects of stochastic simulation and statistical reliability. NEW TO THE SECOND EDITION: Chapters on Random Variables Special probability Distributions Time Series Statistical Inference-Test of Hypothesis Chi-square test Real World Applications of Simulation.
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Book Book Air University Multan Campus Library NFIC 004.22 (Browse shelf(Opens below)) Available P001050

Modeling and Simulation is designed for students of engineering and computer application courses as well as for operations research specialist, system analyst. Modeling and Simulation provides basic knowledge in the use of simulation techniques in a simple and approachable way. Introduction to discrete-event simulation with coverage of computer and statistical issues are the main features. Mathematical treatment of the theory is combined with programmed examples of how to put the theory into proper practice. This book emphasises on a complete overview of computer simulation and its application. It also provides indepth discussion of different types of simulation models, like inventory and queuing. It also presents aspects of stochastic simulation and statistical reliability. NEW TO THE SECOND EDITION: Chapters on Random Variables Special probability Distributions Time Series Statistical Inference-Test of Hypothesis Chi-square test Real World Applications of Simulation.

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