Books on the topic 'Prediction theory Mathematical models'

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.

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

Cave, Jonathan A. K. A median choice theorem. Santa Monica, CA: Rand Corporation, 1987.

Clark, Todd E. Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis. Kansas City [Mo.]: Research Division, Federal Reserve Bank of Kansas City, 2004.

Hui se yu ce yu jue ce mo xing yan jiu. Beijing: Ke xue chu ban she, 2009.

Shuhua, Mao, ed. Hui yu ce yu jue ce fang fa. Beijing: Ke xue chu ban she, 2013.

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.

Liu, Lon-Mu. Time series analysis and forecasting. River Forest, IL: Scientific Computing Associates, 2005.

Liu, Lon-Mu. Time series analysis and forecasting. 2nd ed. River Forest, Ill: Scientific Computing Associates, 2006.

Modelle zur Prädiktion von Polarkoordinaten für die Mondreflektoren im dynamischen Erde-Mond-System. Bonn: [Geodätische Institute der Rheinischen Friedrich-Wilhelms-Universität Bonn], 1985.

Liu, Lon-Mu. Time series analysis and forecasting. [s.l.]: Scientific Computing Associates, 2005.

Ramaswamy, Srichander. One-step prediction of financial time series. Basle, Switzerland: Bank for International Settlements, Monetary and Economic Dept., 1998.

Berg, Andrew. Are currency crises predictable?: A test. [Washington, D.C.]: International Monetary Fund, Research Department, 1998.

Hui lü yu ce yu wai hui gan yu yan jiu. Beijing: Ke xue chu ban she, 2013.

Elder, John F. (John Fletcher), ed. Ensemble methods in data mining: Improving accuracy through combining predictions. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2010.

Ramamurthy, Karthikeyan N. MATLAB software for the code excited linear prediction algorithm: The Federal Standard, 1016. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2010.

1945-, McMeekin T. A., ed. Predictive microbiology: Theory and application. Taunton, Somerset, England: Research Studies Press Ltd., 1993.

Sikorska, Anna Elżbieta. Uncertainty analysis of rainfall-runoff predictions for a small urbanized basin. Warszawa: Komitet Gospodarki Wodnej Polskiej Akademii Nauk, 2014.

Universal artificial intelligence: Sequential decisions based on algorithmic probability. Berlin: Springer, 2005.

Box, George E. P. Time series analysis: Forecasting and control. 4th ed. Hoboken, N.J: John Wiley, 2008.

Box, George E. P. Time series analysis: Forecasting and control. 3rd ed. Englewood Cliffs, N.J: Prentice Hall, 1994.

Box, George E. P. Time series analysis: Forecasting and control. 4th ed. Hoboken, N.J: John Wiley, 2008.

Stephen, Coggeshall, ed. Foundations of predictive analytics. Boca Raton: CRC Press, 2012.

Huang, Biao. Dynamic modelling and predictive control in solid oxide fuel cells: First principle and data-based approaches. Hoboken: John Wiley & Sons Inc., 2013.

Federer, Vaaler Leslie Jane, ed. Mathematical interest theory. Upper Saddle River, N.J: Pearson/Prentice Hall, 2007.

Kolpakov, Vasiliy. Economic and mathematical and econometric modeling: Computer workshop. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/24417.

Mathematical theories, models, and groups. Hauppauge, N.Y: Nova Science Publishers, 2011.

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

I͡U︡, Zhukov M., and I͡U︡dovich V. I, eds. Mathematical theory of electrophoresis. New York: Consultants Bureau, 1989.

Mayergoyz, I. D. Mathematical Models of Hysteresis. New York, NY: Springer New York, 1991.

W, Daniel James, ed. Mathematical Interest Theory. 2nd ed. Washington, DC: Mathematical Association of America, 2008.

Wakeley, John. Coalescent theory: An introduction. Greenwood Village, Colo: Roberts & Co. Publishers, 2009.

Primer of ecological theory. Upper Saddle River, N.J: Prentice Hall, 1998.

Clarke, Bertrand S., and Jennifer L. Clarke. Predictive Statistics: Analysis and Inference beyond Models. Cambridge University Press, 2018.

Clarke, Bertrand S., and Jennifer L. Clarke. Predictive Statistics: Analysis and Inference Beyond Models. Cambridge University Press, 2018.

Clarke, Bertrand S., and Jennifer L. Clarke. Predictive Statistics: Analysis and Inference Beyond Models. Cambridge University Press, 2018.

Applied predictive modeling. Springer, 2016.

James, Judge W., Sebastian Lynne, and Altschul Jeffrey H, eds. Quantifying the present and predicting the past: Theory, method, and application of archeological predictive modeling. Denver, Colo: U.S. Dept. of the Interior, Bureau of Land Management, 1988.

Jain, Madhu, Kusum Deep, and Said Salhi. Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models: Theory and Applications. Springer, 2018.

Box, Elgene Owen. Macroclimate and Plant Forms: An Introduction to Predictive Modeling in Phytogeography. Dr. W. Junk Publishers, 2011.

Predictioneer: One Who Uses Maths, Science and the Logic of Brazen Self-Interest to See and Shape the Future. Penguin Random House, 2009.

Länsivaara, Tim, Pijush Samui, Dookie Kim, Sanjiban Sekhar Roy, and Ravinesh Deo. Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering. IGI Global, 2018.

Giustino, Feliciano. Materials Modelling Using Density Functional Theory: Properties and Predictions. Oxford University Press, 2014.

Materials Modelling Using Density Functional Theory: Properties and Predictions. Oxford University Press, 2014.

Elder, John, and Giovanni Seni. Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions. Springer International Publishing AG, 2010.

Evaluation and prediction of world records and ultimate performance in track and field. 1993.

CaseBased Predictions World Scientific Series in Economic Theory. World Scientific Publishing Company, 2011.

1945-, Bennett Robert M., and Langley Research Center, eds. Using transonic small disturbance theory for predicting the aeroelastic stability of a flexible wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

P, Goel, Chai John C, and United States. National Aeronautics and Space Administration., eds. A transport model of the turbulent scalar-velocity: Status report. Milwaukee, Wis: Dept. of Mechanical Engineering, University fo Wisconsin--Milwaukee, 1987.

1948-, Lewan M. D., and Geological Survey (U.S.), eds. Comparison of kinetic-model predictions of deep gas generation. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.