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1

Steyerberg, E. W. Clinical Prediction Models. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-77244-8.

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2

Steyerberg, Ewout W. Clinical Prediction Models. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16399-0.

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3

Spectral numerical weather prediction models. Philadelphia: Society for Industrial and Applied Mathematics, 2012.

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4

Auerbach, Jonathan Lyle. Some Statistical Models for Prediction. [New York, N.Y.?]: [publisher not identified], 2020.

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5

R, Wilcock Peter, Iverson Richard Matthew, AGU Fall Meeting, and American Geophysical Union, eds. Prediction in geomorphology. Washington, D.C: American Geophysical Union, 2003.

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6

R, Wilcock Peter, and Iverson Richard Matthew, eds. Prediction in geomorphology. Washington, D.C: American Geophysical Union, 2002.

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7

Rick, Archer, and U.S. Army Research Institute for the Behavioral and Social Sciences., eds. Improving soldier factors in prediction models. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2002.

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8

Building and Fire Research Laboratory (U.S.) and Factory Mutual Research Corporation, eds. Prediction of fire dynamics. Gaithersburg, MD: The Institute, 1997.

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9

R, Robinson Allan, and Lee Ding 1925-, eds. Oceanography and acoustics: Prediction and propagation models. New York: American Institute of Physics, 1994.

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10

1952-, Hadorn David C., United States. Health Care Financing Administration., and Rand/UCLA/Harvard Center for Health Care Financing Policy Research., eds. Assessing the performance of mortality prediction models. Santa Monica, CA: RAND, 1993.

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11

Shailer, G. E. P. Experimental failure prediction models for small companies. [Newcastle, Australia]: Dept. of Economics and Industrial Economics, 1986.

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12

Folwell, Raymond J. Price prediction models for Washington fresh asparagus. [Pullman, Wash.]: Washington State University, College of Agriculture and Home Economics Research Center, 1995.

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13

Gongbing, Peng, Leslie Lance M. 1945-, and Shao Yaping, eds. Environmental modelling and prediction. Berlin: Springer, 2002.

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14

Protein structure prediction. 3rd ed. New York: Humana Press, 2014.

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15

Guttman, Irving. Prediction in circular distributions. Toronto: University of Toronto, Dept. of Statistics, 1989.

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16

Ferguson, Erin, James Bonneson, Lee Rodegerdts, Nick Foster, Bhagwant Persaud, Craig Lyon, and Danica Rhoades. Development of Roundabout Crash Prediction Models and Methods. Washington, D.C.: Transportation Research Board, 2019. http://dx.doi.org/10.17226/25360.

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17

Srinivasan, Raghavan, Bo Lan, Caroline Mozingo, James Bonneson, Craig Lyon, Bhagwant Persaud, and Geni Bahar. Understanding and Communicating Reliability of Crash Prediction Models. Washington, D.C.: Transportation Research Board, 2021. http://dx.doi.org/10.17226/26440.

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18

Koop, Gary. Bayesian long-run prediction in time series models. Kraków: Cracow Academy of Economics, 1992.

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19

McKay, Michael D. Evaluating prediction uncertainty. Washington, DC: The Commission, 1995.

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20

Peter, Schmidt. Predicting recidivism using survival models. New York: Springer-Verlag, 1988.

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21

Asset price dynamics, volatility, and prediction. Princeton, N.J: Princeton University Press, 2005.

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22

Social computing, behavioral modeling, and prediction. New York: Springer, 2008.

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23

F, Hewitt G., and Vassilicos J. C, eds. Prediction of turbulent flows. New York: Cambridge University Press, 2005.

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24

Wolfers, Justin. Five open questions about prediction markets. Bonn, Germany: IZA, 2006.

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25

Wolfers, Justin. Five open questions about prediction markets. Cambridge, Mass: National Bureau of Economic Research, 2006.

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26

Baram, Yoram. Linear prediction of stationary vector sequences. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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27

Assembly, Intergovernmental Oceanographic Commission, ed. Modelling and prediction in marine science. Paris: Unesco, 1992.

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28

Forecasting with dynamic regression models. New York: Wiley, 1991.

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29

Mrode, R., ed. Linear models for the prediction of animal breeding values. Wallingford: CABI, 2014. http://dx.doi.org/10.1079/9781780643915.0000.

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30

Ivan, John N., Sha Al Mamun, Nalini Ravishanker, Bhagwant Persaud, Craig Lyon, Raghavan Srinivasan, Bo Lan, et al. Improved Prediction Models for Crash Types and Crash Severities. Washington, D.C.: Transportation Research Board, 2021. http://dx.doi.org/10.17226/26164.

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31

Mrode, R. A., and R. Thompson, eds. Linear models for the prediction of animal breeding values. Wallingford: CABI, 2005. http://dx.doi.org/10.1079/9780851990002.0000.

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32

Das, Monidipa, and Soumya K. Ghosh. Enhanced Bayesian Network Models for Spatial Time Series Prediction. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-27749-9.

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33

Chen, S. A recursive prediction error parameter estimator for nonlinear models. Sheffield: University of Sheffield, Dept. of Control Engineering, 1988.

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34

United States. Federal Highway Administration. and Turner-Fairbank Highway Research Center, eds. Improved prediction models for PCC pavement performance-related specifications. McLean, Va: U.S. Dept. of Transportation, Federal Highway Administration, Turner-Fairbank Highway Research Center, 2000.

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35

Linear models for the prediction of animal breeding values. 2nd ed. Cambridge, MA: CABI Pub., 2005.

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36

International, C. A. B., ed. Linear models for the prediction of animal breeding values. Wallingford: CAB International, 1996.

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37

Hein, Putter, ed. Dynamic prediction in clinical survival analysis. Boca Raton: CRC Press, 2012.

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38

Numerical weather and climate prediction. Cambridge: Cambridge University Press, 2011.

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39

Lin, Ming C. Efficient contact determination between geometric models. Monterey, Calif: Naval Postgraduate School, 1994.

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40

Operational analysis and prediction of ocean wind waves. New York: Springer-Verlag, 1989.

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41

International Conference on Systems Research, Informatics, and Cybernetics (16th 2004 Baden-Baden, Germany). Anticipative and predictive models in systems science. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2004.

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42

Duffie, Darrell. Multi-period corporate default prediction with stochastic covariates. Cambridge, Mass: National Bureau of Economic Research, 2006.

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43

Duffie, Darrell. Multi-period corporate failure prediction with stochastic covariates. Cambridge, Mass: National Bureau of Economic Research, 2004.

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44

1963-, Irikura Karl K., Frurip David J, American Chemical Society. Division of Computers in Chemistry., and American Chemical Society Meeting, eds. Computational thermochemistry: Prediction and estimation of molecular thermodynamics. Washington, DC: American Chemical Society, 1998.

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45

Duffie, Darrell. Multi-period corporate failure prediction with stochastic covariates. Cambridge, MA: National Bureau of Economic Research, 2004.

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46

Raymond, F. L. Dimensional growth, difference-based equations and growth prediction. Maple: Ontario Forest Research Institute, 1989.

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47

Gerds, Thomas A., and Michael W. Kattan. Medical Risk Prediction Models. Taylor & Francis Group, 2021.

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48

Iverson, Richard M., and Peter R. Wilcock. Prediction in Geomorphology. Wiley & Sons, Limited, John, 2013.

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49

(Editor), Gongbing Peng, Lance M. Leslie (Editor), and Yaping Shao (Editor), eds. Environmental Modeling & Prediction. Springer, 2001.

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50

Shao, Yaping, Gongbing Peng, and Lance M. Leslie. Environmental Modelling and Prediction. Springer, 2010.

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