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1

Shedler, G. S. Regenerative stochastic simulation. Academic Press, 1993.

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2

Plenge, Waagepetersen Rasmus, ed. Statistical inference and simulation for spatial point processes. Chapman & Hall/CRC, 2004.

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3

Hay, Lee Loo, ed. Stochastic simulation optimization: An optimal computing budget allocation. World Scientific, 2011.

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4

Benchekroun, Tahar Hakim. Modélisation et simulation des processus intentionnels d'interlocution: Application à la conception d'un système d'aide à la communication multi-agents. A.N.R.T, Université de Lille III, 1994.

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5

Heermann, Dieter W. Computer simulation methods in theoretical physics. 2nd ed. Springer-Verlag, 1990.

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6

Heermann, Dieter W. Computer simulation methods in theoretical physics. 2nd ed. Springer-Verlag, 1990.

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7

Dennis, Terry L. Microcomputer models for management decision-making: Software and text. 3rd ed. West Pub. Co., 1993.

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8

Dennis, Terry L. Microcomputer models for management decision-making: Software and text. West Pub. Co., 1986.

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9

R, Gilks W., Richardson S, and Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. Chapman & Hall, 1996.

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10

R, Gilks W., Richardson S, and Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. Chapman & Hall, 1998.

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11

R, Uttal William, ed. The Swimmer: An integrated computational model of a perceptual-motor system. L. Erlbaum, 1992.

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12

m, Michel Benai. Promenade ale atoire: Chai nes de Markov et simulations ; martingales et strate gies. E ditions de l'E cole polytechnique, 2004.

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13

Cooper, Robert B. Introduction to queueing theory. 3rd ed. CEEPress Books, 1990.

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14

Søren, Brunak, ed. Bioinformatics: The machine learning approach. 2nd ed. MIT Press, 2001.

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15

Søren, Brunak, ed. Bioinformatics: The machine learning approach. MIT Press, 1998.

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16

Schoutens, Wim. Lévy processes in finance: Pricing financial derivatives. J. Wiley, 2003.

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17

Canicas, Jean-François. Formalisation et simulation du processus de reconnaissance intermoléculaire. 1985.

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18

COCHARD. Introduction Aux Proc Stoch Simulation: Introduction Aux Processus Stochastiques et a la Simulation. ISTE Editions Ltd., 2019.

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19

Moller, Jesper, Rasmus Plenge Waagepetersen, and Jesper Møller. Statistical Inference and Simulation for Spatial Point Processes. Taylor & Francis Group, 2003.

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20

Methodes et modeles de la recherche operationnelle (Collection Gestion : serie : politique generale, finance et marketing). Economica, 1998.

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21

Computational Modeling of Vision: The Role of Combination (Optical Engineering, V. 62). CRC, 1999.

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22

Introduction to stochastic search and optimization: Estimation, simulation, and control. J. Wiley, 2003.

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23

Spall, James C. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. Wiley & Sons, Incorporated, John, 2008.

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24

Spall, James C. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. Wiley & Sons, Incorporated, John, 2005.

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25

Moller, Jesper, and Rasmus Plenge Waagepetersen. Statistical Inference and Simulation for Spatial Point Processes (Monographs on Statistics and Applied Probability). Chapman & Hall/CRC, 2003.

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26

Maillardet, Robert, Andrew Robinson, and Owen Jones. Introduction to Scientific Programming and Simulation Using R. Taylor & Francis Group, 2014.

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27

Maillardet, Robert, Andrew Robinson, and Owen Jones. Introduction to Scientific Programming and Simulation Using R. Taylor & Francis Group, 2009.

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28

Jones, Owen, Robert Maillardet, and Andrew Robinson. Introduction to Scientific Programming and Simulation Using R. Taylor & Francis Group, 2014.

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29

Garcia, Juan Martin. Modèles de Simulation Avec Dynamique des Systèmes : Applications de Modelisation en économie, écologie, Biologie, Gestion Opérationnelle et des Processus de Fabrication. Complexité: Concepts et Exercices. Independently Published, 2019.

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30

Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

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31

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

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32

Gramacy, Robert B. Surrogates. Taylor & Francis Group, 2020.

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33

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

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34

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

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35

Richardson, S., David Spiegelhalter, and W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.

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36

Richardson, S., David Spiegelhalter, and W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.

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37

Shepherd, Thomas, Gary Bradshaw, Sriram Dayanand, Robb Lovell, and William R. Uttal. Swimmer: An Integrated Computational Model of a Perceptual-Motor System. Taylor & Francis Group, 2014.

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38

Shepherd, Thomas, Gary Bradshaw, Sriram Dayanand, Robb Lovell, and William R. Uttal. Swimmer: An Integrated Computational Model of a Perceptual-Motor System. Taylor & Francis Group, 2014.

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39

Shepherd, Thomas, Gary Bradshaw, Sriram Dayanand, Robb Lovell, and William R. Uttal. Swimmer: An Integrated Computational Model of a Perceptual-Motor System. Taylor & Francis Group, 2016.

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40

Shepherd, Thomas, Gary Bradshaw, Sriram Dayanand, et al. The Swimmer: An Integrated Computational Model of A Perceptual-motor System (Scientific Psychology Series). Lawrence Erlbaum, 1992.

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41

Kumar M., Dileep. 50 short case studies in business management. UUM Press, 2012. http://dx.doi.org/10.32890/9789670474243.

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Abstract:
The Higher Education Institutions that run business management programs in Malaysia is under severe criticism from industry that the passing out management graduates do not have adequate practical exposure to the industry and lack of practical skills to deal industrial issues proactively as the catalyst of change.This indicates that the traditional management education curriculum, as presently constituted, may not be adequately preparing individuals for the challenges they experience as professional managers.To deal with this issue, many management institutes are adopting case study as a pedag
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42

Handbook for Markov chain Monte Carlo. Taylor & Francis, 2011.

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43

Schoutens, Wim. Lévy Processes in Finance: Pricing Financial Derivatives. Wiley & Sons, Incorporated, John, 2003.

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