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1

Probabilities in physics. Oxford: Oxford University Press, 2011.

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2

Ross, Sheldon M. Applied probability models with optimization applications. New York: London, 1992.

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3

Ross, Sheldon M. Applied probability models with optimization applications. New York: Dover Publications, 1992.

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4

Puppe, Clemens. Distorted probabilities and choice under risk. Berlin: Springer-Verlag, 1991.

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5

Reeb, J. E. An introduction to models and probability concepts. Corvallis, Or: Oregon State University Extension Service, 1998.

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6

Reeb, J. E. An introduction to models and probability concepts. Corvallis, Or: Oregon State University Extension Service, 1998.

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7

Finite mathematics for the managerial, life, and social sciences. Belmont, CA: Brooks/Cole, Cengage Learning, 2012.

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8

Tan, Soo Tang. Finite mathematics for the managerial, life, and social sciences. 9th ed. Belmont, CA: Brooks/Cole Cengage Learning, 2009.

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9

Tan, Soo Tang. Finite mathematics for the managerial, life, and social sciences. 7th ed. Pacific Grove, CA: Thomson-Brooks/Cole, 2003.

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10

Tan, Soo Tang. Finite mathematics for the managerial, life, and social sciences. 6th ed. Pacific Grove, CA: Brooks/Cole, 2000.

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11

Finite mathematics. Mason, Ohio: Cengage Learning, 2009.

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12

Introduction to stochastic models. 2nd ed. Mineola, NY: Dover Publications, 2006.

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13

Introduction to stochastic models. Menlo Park, Calif: Benjamin/Cummings Pub. Co., 1988.

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14

Creighton, James H. C. A first course in probability models and statistical inference. New York: Springer-Verlag, 1994.

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15

Segal, U. Order indifference and rank-dependent probabilities. Toronto: Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1990.

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16

Ushakov, I. A. Probabilistic reliability models. San Diego, CA: Wiley, 2012.

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17

Borisov, V. Z. Metody garantirovannoĭ identifikat︠s︡ii stokhasticheskikh sistem. I︠A︡kutsk: I︠A︡kutskiĭ nauchnyĭ t︠s︡entr SO RAN, 2005.

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18

Hammond, Peter J. Subjective probabilities with state independent utilities on state dependent consequence domains. Stanford, Calif: Institute for Mathematical Studies in the Social Sciences, Stanford University, 1987.

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19

Myerson, Roger B. Probability models for economic decisions. Belmont, CA: Thomson/Brooke/Cole, 2005.

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20

Kingman, J. F. C. (John Frank Charles), ed. Probability and mathematical genetics: [papers in honour of Sir John Kingman]. Cambridge, UK: Cambridge University Press, 2010.

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21

Aven, T. Risk analysis: Assessing uncertainties beyond expected values and probabilities. Chichester, England: Wiley, 2008.

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22

Schmidli, Hanspeter. Characteristics of ruin probabilities in classical risk models with and without investment, Cox risk models and perturbed risk models. Århus, Denmark: University of Aarhus, Dept. of Theoretical Statistics, Institute of Mathematical Sciences, 2000.

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23

Beck, Konstantin. Die Wahrscheinlichkeit paradoxer Abstimmungsergebnisse. Bern: P. Lang, 1993.

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24

Haghighi, Aliakbar Montazer. Queuing models in industry and business. New York: Nova Science Publishers, 2007.

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25

Calvetti, Daniela. Computational mathematical modeling: An integrated approach across scales. Philadelphia: Society for Industrial and Applied Mathematics, 2013.

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26

Whiting, Lee. Analytical model of a combinatorial number lottery. Bethel, CT: Rutledge Books, 1997.

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27

Golovchenko, V. B. Kombinirovanie modeleĭ neopredelennosti. Novosibirsk: "Nauka", 2002.

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28

Probabilistische Testmodelle in der Persönlichkeitsdiagnostik. Frankfurt am Main: P. Lang, 1993.

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29

Weiss, Michael D. Conceptual foundations of risk theory. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, 1987.

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30

Tichý, Milík. Pravděpodobnostní optimalizace dimenzování stavebních konstrukcí. Praha: Academia, 1986.

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31

Klaus, Braun. Der Einfluss mesoskaliger Windfelder auf die räumliche Verteilung des Niederschlags: Eine Untersuchung zur Regionalisierung von Niederschlagsdaten mit Hilfe eines mesoskaligen Strömungsmodells. Freiburg: Im Selbstverlag des Institutes für Physische Geographie der Albert-Ludwigs-Universität Freiburg i. Br., 1997.

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32

Risk analysis: Assessing uncertainties beyond expected values and probabilities. Hoboken, N.J: Wiley, 2008.

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33

1937-, Sen Pranab Kumar, ed. Nonparametric methods in general linear models. New York: Wiley, 1985.

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34

P, Christi͡a︡kov V., ed. Veroi͡a︡tnostnye modeli prevrashchenii͡a︡ chastit͡s︡. Moskva: "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry, 1988.

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35

Erminia, Vaccari, ed. Dynamic models and discrete event simulation. New York: M. Dekker, 1989.

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36

Latham, Don J. Ignition probabilities of wildland fuels based on simulated lightning discharges. Ogden, UT (324 25th, Ogden 84401): U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1989.

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37

Latham, Don J. Ignition probabilities of wildland fuels based on simulated lightning discharges. [Ogden, Utah]: U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1989.

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38

Financial models with Levy processes and volatility clustering. Hoboken, N.J: Wiley, 2011.

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39

Ross, Sheldon M. Probability models for computer science. San Diego: Harcourt Academic Press, 2002.

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40

M, Guillermo L. Gómez. Dynamic probabilistic models and social structure: Essays on socioeconomic continuity. Dordrecht: Kluwer Academic Publishers, 1992.

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41

Pozdynin, V. D. Ėlementy veroi͡a︡tnostnogo opisanii͡a︡ melkomasshtabnoĭ turbulentnosti v okeane. Leningrad: Gidrometeoizdat, 1989.

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42

Intermediate probability: A computational approach. Chichester, England: John Wiley, 2007.

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43

C, Ionescu D., and Limnios N, eds. Statistical and probabilistic models in reliability. Boston: Birkhäuser, 1999.

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44

Statistical Models For Proportions And Probabilities. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

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45

(Editor), G. J. Morrow, and W. S. Yang (Editor), eds. Probability Models in Mathematical Physics. World Scientific Publishing Co Pte Ltd, 1991.

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46

Hartmann, Stephan, and Claus Beisbart. Probabilities in Physics. Oxford University Press, 2011.

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47

Hartmann, Stephan, and Claus Beisbart. Probabilities in Physics. Oxford University Press, 2011.

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48

Project, School Mathematics. Probability Models for Data. Cambridge University Press, 1990.

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49

G, Breysse, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on "PROBAMAT: Probabilities and Materials--Tests, Models, and Applications" (1993 : Cachan, France), eds. Probabilities and materials: Tests, models, and applications. Dordrecht: Kluwer Academic Publishers, 1994.

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50

R, Thompson James. Empirical Model Building: Data, Models, and Reality. Wiley & Sons, Incorporated, John, 2011.

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