Books on the topic 'Predictive mathematical model'

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

Chen, J. Quality assurance of multi-media model for predictive screening tests. Washington, DC: U.S. Environmental Protection Agency, Office of Research and Development, 1999.

Evernden, J. F. Predictive model for important ground motion parameters associated with large and great earthquakes. Washington, DC: U.S. Geological Survey, 1988.

Evernden, J. F. Predictive model for important ground motion parameters associated with large and great earthquakes. [Washington]: U.S. G.P.O., 1988.

Schloss, Alan J. A predictive model for estimating maximum summer stream temperatures in western Oregon. Springfield VA: Eugene, OR, 1985.

Bradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.

Bradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.

Bradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.

Bradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.

Tipps, Betsy L. The Tar Sands Project: An inventory and predictive model for central and southern Utah. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1988.

Tipps, Betsy L. The Tar Sands Project: An inventory and predictive model for central and southern Utah. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1988.

Takács, Gergely. Model Predictive Vibration Control: Efficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures. London: Springer London, 2012.

Coastal and Hydraulics Laboratory (U.S. Army Engineer Waterways Experiment Station). A Predictive model for sediment transport at the Portland disposal site, Maine. [Concord, MA: The Corps, 1998.

Camacho, E. F. Model predictive control. 2nd ed. New York: Springer, 2004.

1962-, Bordons C., ed. Model predictive control. Berlin: Springer, 1999.

Camacho, E. F. Model predictive control. London: Springer, 2003.

Defence Research & Development Organisation (India), ed. Aerodynamic predictive methods and their validation in hypersonic flows. New Delhi: Defence Research & Development Organisation, Ministry of Defence, 2003.

Center for Emerging Issues (U.S.). Overview of predictive infectious-disease modeling. Washington, D.C.]: United States Department of Agriculture, Animal and Plant Health Inspection Service, Veterinary Services, Center for Emerging Issues, 2005.

Predictive behavior: An experimental study. Berlin: Springer-Verlag, 1993.

McMillan, Gregory K. Models unleashed: Virtual plant and model predictive control applications : a pocket guide. Research Triangle Park, NC: ISA, 2004.

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

A, Linkens D., ed. Generalised predictive control and bioengineering. London: Taylor & Francis, 1998.

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.

author, Chaouchi Mohamed, and Jung Tommy author, eds. Predictive analytics for dummies. Hoboken, NJ: John Wiley & Sons, Inc., 2014.

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

Leathwick, J. R. Predictive models of archaeological site distributions in New Zealand. Wellington, N.Z: Department of Conservation, 2000.

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

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

Langerak, A. Predictive ability of two-dimensional models for mixing in estuaries. Santa Monica, CA: Rand, 1987.

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

Quintiere, James G. Significant parameters for predicting flame spread. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1985.

Quintiere, James G. Significant parameters for predicting flame spread. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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

O'Muircheartaigh, I. G. Prediction of polytomous events: Model description, algorithm development and methodological aspects, with an application. Monterey, Calif: Naval Postgraduate School, 1987.

Baker, Malcolm. Pseudo market timing and predictive regressions. Cambridge, Mass: National Bureau of Economic Research, 2004.

Baker, Malcolm. Pseudo market timing and predictive regressions. Cambridge, MA: National Bureau of Economic Research, 2004.

Predictive analytics: Microsoft Excel. Indianapolis, Ind: Que Pub., 2013.

Williams, Jenny. An intertemporal model of rational criminal choice. Adelaide, S. Aust: Dept. of Economics, University of Adelaide, 1998.

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

Canada. Natural Resources Canada. Canadian Forest Service. Great Lakes Forestry Centre. Predicting canopy closure for habitat modeling. Ottawa: Natural Resources Canada., 1995.

Wang, George H. K. Predicting thrift-institution examination ratings. Washington, D.C: Office of Policy and Economic Research, Federal Home Loan Bank Board, 1987.

Wang, George H. K. Predicting thrift-institution examination ratings. Washington, D.C: Office of Policy and Economic Research, Federal Home Loan Bank Board, 1987.

Wang, George H. K. Predicting thrift-institution examination ratings. Washington, D.C: Office of Policy and Economic Research, Federal Home Loan Bank Board, 1987.

Wang, George H. K. Predicting thrift-institution examination ratings. Washington, D.C: Office of Policy and Economic Research, Federal Home Loan Bank Board, 1987.

Bernanke, Ben. On the predictive power of interest rates and interest rate spreads. Cambridge, MA: National Bureau of Economic Research, 1990.

Pérez-Rodríguez, Fernando. Predictive Microbiology in Foods. New York, NY: Springer New York, 2013.

Gaver, Donald Paul. Bayesian prediction of mean square errors with covariates. Monterey, Calif: Naval Postgraduate School, 1992.

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

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

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