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Books on the topic 'Statistical simulations'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Lynna, Spornick, Tobochnik Jan 1953-, and Consortium for Upper-Level Physics Software., eds. Thermal and statistical physics simulations. Wiley, 1995.

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2

Kottemann Ph.D, Jeffrey E. Illuminating Statistical Analysis Using Scenarios and Simulations. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119296386.

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3

Armstrong, Margaret. Plurigaussian Simulations in Geosciences. Springer-Verlag Berlin Heidelberg, 2011.

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4

Geostatistical, Simulation Workshop (1993 Fontainebleau France). Geostatistical simulations: Proceedings of the Geostatistical Simulation Workshop, Fontainebleau, France, 27-28 May 1993. Kluwer Academic Publishers, 1994.

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5

Landau, David P. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge University Press, 2009.

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6

Kamberaj, Hiqmet. Molecular Dynamics Simulations in Statistical Physics: Theory and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35702-3.

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7

1944-, Binder K., ed. A guide to Monte Carlo simulations in statistical physics. Cambridge University Press, 2000.

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8

Landau, David P. A guide to Monte Carlo simulations in statistical physics. 2nd ed. Cambridge University Press, 2005.

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9

Landau, David P. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge University Press, 2009.

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10

1944-, Binder K., ed. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge University Press, 2009.

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11

Chang, Mark, John Balser, Jim Roach, and Robin Bliss. Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781351214544.

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12

J, Smith David. Statistics workshop: An introduction to statistical sampling and inference by means of practical simulations. Technis, 1990.

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13

Wheeler, Russell L. Evaluating coinciding anomalies along a fault trace or other traverse--simulations and statistical procedures. Dept. of the Interior, U.S. Geological Survey, 1987.

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14

Wheeler, Russell L. Evaluating coinciding anomalies along a fault trace or other traverse--simulations and statistical procedures. U.S. Geological Survey, 1987.

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15

Lewis, Peter A. W. Variance reduction for quantile estimates in simulations via nonlinear controls. Naval Postgraduate School, 1990.

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16

Curotto, Emanuele. Stochastic simulations of clusters: Quantum methods in flat and curved spaces. Taylor & Francis, 2010.

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17

Schoen, Martin. Computer simulation of condensed phases in complex geometries. Springer, 1993.

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18

Adrian, Melott, Wei A. G, and United States. National Aeronautics and Space Administration., eds. Testing higher-order Lagrangian perturbation theory against numerical simulations. National Aeronautics and Space Administration, 1995.

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19

L, Melott A., Wei A. G, and United States. National Aeronautics and Space Administration., eds. Testing higher-order Lagrangian perturbation theory against numerical simulations. National Aeronautics and Space Administration, 1995.

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20

Hao, Ming-Hong. Statistical thermodynamics of protein folding: Comparison of a mean-field theory with Monte Carlo simulations. Cornell Theory Center, Cornell University, 1994.

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21

Scott, J. C. A statistical processor for analyzing simulations made using the modular finite-difference ground-water flow model. Dept. of the Interior, U.S. Geological Survey, 1990.

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22

United States. Government Accountability Office. Federal assistance: Illustrative simulations of using statistical population estimates for reallocating certain federal funding : report to congressional requesters. GAO, 2006.

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23

Youmans, Robert L. The use of color in the output analysis of statistical simulations, and analysis of estimators of serial correlation. Naval Postgraduate School, 1988.

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24

Johnson, Mark E. Multivariate Statistical Simulation. John Wiley & Sons, Inc., 1987. http://dx.doi.org/10.1002/9781118150740.

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25

Michio, Tokuyama, Oppenheim Irwin, and Tohwa University International Meeting on Statistical Physics (2nd : 1997 : Fukuoka, Japan), eds. Statistical physics: Experiments, theories, and computer simulations : proceedings of the 2nd Tohwa University International Meeting, Fukuda Minerva Hall, Fukuoka, Japan, November 4-7, 1997. World Scientific, 1998.

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26

Allen, Michael P., and Dominic J. Tildesley. Statistical mechanics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0002.

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Abstract:

This chapter contains the essential statistical mechanics required to understand the inner workings of, and interpretation of results from, computer simulations. The microcanonical, canonical, isothermal–isobaric, semigrand and grand canonical ensembles are defined. Thermodynamic, structural, and dynamical properties of simple and complex liquids are related to appropriate functions of molecular positions and velocities. A number of important thermodynamic properties are defined in terms of fluctuations in these ensembles. The effect of the inclusion of hard constraints in the underlying poten

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27

Illuminating Statistical Analysis Using Scenarios and Simulations. Wiley, 2017.

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28

Kottemann, Jeffrey E. Illuminating Statistical Analysis Using Scenarios and Simulations. Wiley & Sons, Incorporated, John, 2017.

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29

Kottemann, Jeffrey E. Illuminating Statistical Analysis Using Scenarios and Simulations. Wiley & Sons, Limited, John, 2017.

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30

Kottemann, Jeffrey E. Illuminating Statistical Analysis Using Scenarios and Simulations. Wiley & Sons, Incorporated, John, 2017.

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31

Kottemann, Jeffrey E. Illuminating Statistical Analysis Using Scenarios and Simulations. Wiley & Sons, Incorporated, John, 2017.

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32

Iancu, Mihai, Hannelore Lisei, and Wilfried Grecksch. Probability: Theory, Problems, Simulations. World Scientific Publishing Co Pte Ltd, 2020.

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33

Iancu, Mihai, Hannelore Lisei, and Wilfried Grecksch. Probability: Theory, Problems, Simulations. World Scientific Publishing Co Pte Ltd, 2020.

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34

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2009.

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35

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2011.

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36

Guide to Monte Carlo Simulations in Statistical Physics. University of Cambridge ESOL Examinations, 2021.

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37

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2014.

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38

Landau, David, and Kurt Binder. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2021.

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39

Landau, David, and Kurt Binder. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2020.

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40

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2014.

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41

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2000.

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42

Li, Shaofan, and Jun Li. Introduction to Computational Nanomechanics: Multiscale and Statistical Simulations. Cambridge University Press, 2022.

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43

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2009.

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44

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2015.

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45

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2005.

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46

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2009.

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47

Sander, Dr Leonard M. Equilibrium Statistical Physics: With Computer simulations in Python. CreateSpace Independent Publishing Platform, 2013.

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48

Statistical Mechanics and Molecular Simulations (Oxford Graduate Texts). Oxford University Press, USA, 2008.

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49

Okamoto, Yuko. Generalized-Ensemble Simulations in the Physical Sciences. Taylor & Francis Group, 2021.

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50

Okamoto, Yuko. Generalized-Ensemble Simulations in the Physical Sciences. Taylor & Francis Group, 2019.

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