Books on the topic 'Mathematical model'

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1

Empirical model building: Data, models, and reality. 2nd ed. Hoboken, N.J: John Wiley & Sons, 2011.

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2

missing], [name. Model selection. Beachwood, OH: Institute of Mathematical Statistics, 2003.

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3

Williams, H. P. Model building in mathematical programming. 5th ed. Chichester, West Sussex: Wiley, 2013.

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4

Model selection and model averaging. Cambridge: Cambridge university press, 2008.

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5

W, Zucchini, ed. Model selection. New York: Wiley, 1986.

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6

Williams, H. P. Model building in mathematical programming. 4th ed. New York: Wiley, 1999.

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7

Model choice and model aggregation. Paris: Editions Technip, 2017.

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8

Prestel, Alexander, and Charles N. Delzell. Mathematical Logic and Model Theory. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2176-3.

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9

Bateman, J. E. Surface exafs: A mathematical model. Chilton: Rutherford Appleton Laboratory, 2000.

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10

Williams, H. P. Model building in mathematical programming. 3rd ed. Chichester [England]: Wiley, 1990.

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11

Williams, H. P. Model building in mathematical programming. 3rd ed. Chichester: Wiley, 1993.

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12

Model solving in mathematical programming. Chichester: Wiley, 1993.

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13

Model building in mathematical programming. 2nd ed. Chichester: Wiley, 1985.

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14

Williams, H. P. Model solving in mathematical programming. Chichester: J. Wiley, 1993.

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15

1956-, Wallace Stein W., and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Algorithms and model formulations in mathematical programming. Berlin: Springer-Verlag, 1989.

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16

Ivanov, Viktor Vladimirovich. Model development and optimization. Dordrecht: Kluwer Academic Publishers, 1999.

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17

service), SpringerLink (Online, ed. Model Theory and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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18

Institution-independent model theory. Basel: Birkhäuser, 2008.

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19

A model-theoretic realist interpretation of science. Boston: Kluwer Academic Publichers, 2002.

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20

Cheung, Yun-Hsing. A simple mathematical model of lottery play. Perth, W.A: Edith Cowan University, Faculty of Business, School of Finance and Business Economics, 1996.

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21

Armstrong, T. W. Trapped radiation model uncertainties: Model, data and model, model comparisons. MSFC, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 2000.

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22

Hart, Bradd T. Algebraic Model Theory. Dordrecht: Springer Netherlands, 1997.

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23

Larsen, Ryan J. New developments in the standard model. Hauppauge, N.Y: Nova Science Publishers, 2011.

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24

Geological Survey (U.S.), ed. Linear Q model calculations. Menlo Park, Ca: U.S. Dept. of the Interior, Geological Survey, 1985.

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25

McMasters, Alan W. Wholesale provisioning models: Model evaluation. Monterey, California: Naval Postgraduate School, 1986.

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26

1953-, Delzell Charles N., ed. Mathematical logic and model theory: A brief introduction. London: Springer, 2011.

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27

Heilemann, Ullrich. Understanding macroeconomic models: Structural sensitivity analysis of a medium-sized model. Essen: Rheinisch-Westfälisches Institut für Wirtschaftsforschung, 1991.

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28

Lamson, S. T. Tie life model. Kingston, Ont: Canadian Institute of Guided Ground Transport, Queen's University, 1985.

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29

Wallace, Stein W., ed. Algorithms and Model Formulations in Mathematical Programming. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1.

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30

Bernhard, Pierre, Jacob C. Engwerda, Berend Roorda, J. M. Schumacher, Vassili Kolokoltsov, Patrick Saint-Pierre, and Jean-Pierre Aubin. The Interval Market Model in Mathematical Finance. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-0-8176-8388-7.

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31

Henderson, Peter C. A mathematical model of a storage heater. [S.l: The Author], 1995.

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32

Wallace, Stein W. Algorithms and Model Formulations in Mathematical Programming. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989.

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33

Kremling, Andreas. Systems biology: Mathematical modeling and model analysis. Boca Raton: CRC Press, 2014.

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34

Strelkoff, Theodor. BRDRFLW: A mathematical model of border irrigation. [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 1985.

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35

Strelkoff, Theodor. BRDRFLW: A mathematical model of border irrigation. [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 1985.

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36

Krugman, Paul R. A dynamic spatial model. Cambridge, MA: National Bureau of Economic Research, 1992.

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37

M, McCann Catherine, and Langley Research Center, eds. Reliability model generator specification. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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38

Lopez, Michael. A Japanese grains model. [Washington, D.C.]: U.S. Dept. of Agriculture, Economic Research Service, International Economics Division, 1986.

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39

United States. Department of Agriculture. Economic Research Service. International Economics Division, ed. A Japanese grains model. Washington, D.C.]: U.S. Department of Agriculture, Economic Research Service, International Economics Division, 1986.

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40

Vinokurov, V. A. Account of the condensation theory: The mathematical model for obtaining of point particles far-action from continuous medium near-action. Moscow: Moscow State Social University, 1994.

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41

Sergio, Bertuglia Cristoforo, Leonardi Giorgio, and Wilson A. G. 1939-, eds. Urban dynamics: Designing an integrated model. London: Routledge, 1990.

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42

Epstein, Joshua M. Mathematical Model. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691158884.003.0002.

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This part of the book describes explicit mathematical models for the affective, cognitive, and social components of Agent_Zero. It first considers some underlying neuroscience of fear and the role of the amygdala before turning to Rescorla–Wagner equations of conditioning. In particular, it explains how the fear circuit can be activated and how fear conditioning can occur unconsciously. It then reviews some standard nomenclature adopted by Ivan Pavlov in his study, Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex, with emphasis on David Hume's “association of ideas,” the theory of conditioning, and the Rescorla–Wagner model. After examining “the passions,” the discussion focuses on reason, Agent_Zero's cognitive component, and the model's social component. The central case is that the agent initiates the group's behavior despite starting with the lowest disposition, with no initial emotional inclination, no evidence, the same threshold as all others, and no orders from above.
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43

Burnham, Kenneth P., and David Anderson. Model Selection and Multi-Model Inference. Springer, 2003.

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44

Model Building in Mathematical Programming. Wiley & Sons, Limited, John, 2020.

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45

Williams, H. Paul. Model Building in Mathematical Programming. Wiley & Sons, Incorporated, John, 2013.

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46

Williams, H. Paul. Model Building in Mathematical Programming. Wiley & Sons, Incorporated, John, 2013.

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47

Williams, H. Paul. Model Building in Mathematical Programming. Wiley & Sons, Incorporated, John, 2015.

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48

Williams, H. P. Model Building in Mathematical Programming. 4th ed. Wiley, 1999.

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49

Williams, H. Paul. Model Building in Mathematical Programming. Wiley & Sons, Incorporated, John, 2022.

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50

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

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