Books on the topic 'Physical Predictions'
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Dietrich, Daniel S. Predicting radiation characteristics from antenna physical dimensions. Monterey, Calif: Naval Postgraduate School, 1992.
Gerry, Donald D. Mathcad computer applications predicting antenna parameters from antenna physical dimensions and ground characteristics. Monterey, Calif: Naval Postgraduate School, 1993.
Environmental Studies Revolving Funds (Canada). Physical approaches to iceberg severity prediction. S.l: s.n, 1986.
Marko, J. R. Physical approaches to iceberg severity prediction. Sidney, B.C: Arctic Sciences Ltd., 1986.
Jochum, Clemens, Martin G. Hicks, and Josef Sunkel, eds. Physical Property Prediction in Organic Chemistry. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-74140-1.
Askadskiĭ, A. A. Physical properties of polymers: Prediction and control. Amsterdam: Gordon and Breach Publishers, 1996.
Glynn, Paul E. Clinical prediction rules: A physical therapy reference manual. Sudbury, Mass: Jones and Bartlett Publishers, 2010.
Lundholm, Steven E. Predicting antenna parameters from antenna physical dimensions. Monterey, Calif: Naval Postgraduate School, 1993.
1939-, Wyss Max, Shimazaki K. 1946-, and Ito Akihiko, eds. Seismicity patterns, their statistical significance and physical meaning. Basel: Birkhäuser Verlag, 1999.
Sinclair, H. R. Physical root restriction prediction in a mine spoil reclamation protocol. S.l: s.n, 1991.
Keilis-Borok, Vladimir I. Nonlinear Dynamics of the Lithosphere and Earthquake Prediction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.
Skelton, R. P. High Temperature Fatigue: Properties and Prediction. Dordrecht: Springer Netherlands, 1987.
Tsuchiya, Yoshito. Tsunami: Progress in Prediction, Disaster Prevention and Warning. Dordrecht: Springer Netherlands, 1995.
Nicholson, Sean. Physician income prediction errors: Sources and implications for behavior. Cambridge, MA: National Bureau of Economic Research, 2002.
Wolberg, John R. Designing Quantitative Experiments: Prediction Analysis. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.
Sosa, Matias. Engineering physics and mechanics: Analyses, prediction, and applications. Hauppauge, N.Y: Nova Science Publishers, 2010.
Pham, Duc Truong. Neural Networks for Identification, Prediction and Control. London: Springer London, 1995.
Fasman, Gerald D. Prediction of Protein Structure and the Principles of Protein Conformation. Boston, MA: Springer US, 1989.
Baus, Marc. Observation, Prediction and Simulation of Phase Transitions in Complex Fluids. Dordrecht: Springer Netherlands, 1995.
Kravt͡sov, I͡U A. Limits of Predictability. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.
Baluch, Issa. Transport Logistics: Past, Present and Predictions. Winning Books, 2005.
Bishop, Paul. Adapted Physical Education: A Comprehensive Resource Manual of Definition, Assessment, Programming and Future Predictions. Educational Systems Associates, Incorporated, 1988.
1950-, Bishop Paul L., and Educational Systems Associates, eds. Adapted physical education: A comprehensive resource manual of definition, assessment, programming and future predictions. Kearney, NE: Educational Systems Associates, 1988.
Chan, Johnny C. L. Physical Mechanisms Responsible for Track Changes and Rainfall Distributions Associated with Tropical Cyclone Landfall. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190676889.013.16.
Chan, Johnny C. L. Physical Mechanisms Responsible for Track Changes and Rainfall Distributions Associated with Tropical Cyclone Landfall. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190699420.013.16.
United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch and University of Dayton. Research Institute, eds. The physical and empirical basis for a specific clear-air turbulence risk index. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.
United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch. and University of Dayton. Research Institute., eds. The physical and empirical basis for a specific clear-air turbulence risk index. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.
United States. National Aeronautics and Space Administration., ed. The physical and empirical basis for a specific clear-air turbulence risk index: Final report. Dayton, Ohio: University of Dayton, Research Institute, 1985.
K, Lambert, and Lewis Research Center, eds. Physical optics for oven-plate scattering prediction. Urbana, Ill: University of Illinios, 1991.
K, Lambert, and Lewis Research Center, eds. Physical optics for oven-plate scattering prediction. Urbana, Ill: University of Illinios, 1991.
Mora, S., and Y. Pomeau. Capillarity with solids. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198789352.003.0007.
B, Beck F., Cockrell C. R, and Langley Research Center, eds. Modeling 3-D objects with planar surfaces for prediction of electromagnetic scattering. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.
B, Beck F., Cockrell C. R, and Langley Research Center, eds. Modeling 3-D objects with planar surfaces for prediction of electromagnetic scattering. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.
Modeling 3-D objects with planar surfaces for prediction of electromagnetic scattering. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.
B, Beck F., Cockrell C. R, and Langley Research Center, eds. Modeling 3-D objects with planar surfaces for prediction of electromagnetic scattering. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.
D, Lambourne. Predicting Motion (The Physical World). Taylor & Francis, 2000.
Paul, Weingartner, and Schurz Gerhard, eds. Law and prediction in the light of chaos research. Berlin: Springer, 1996.
Myrvold, Wayne C. Beyond Chance and Credence. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198865094.001.0001.
Eisenkraft, Arthur. Active physics: Predictions. It's About Time, 1999.
Sanderson, Benjamin Mark. Uncertainty Quantification in Multi-Model Ensembles. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.707.
Weingartner, Paul, and Gerhard Schurz. Law and Prediction in the Light of Chaos Research. Springer, 2013.
Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer, 2009.
Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer, 2005.
Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer Berlin / Heidelberg, 2010.
Physical Approach to Short-Term Wind Power Prediction. Berlin/Heidelberg: Springer-Verlag, 2006. http://dx.doi.org/10.1007/3-540-31106-8.
Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer London, Limited, 2006.
Lambourne, Robert. Predicting Motion. Taylor & Francis Group, 2020.
Lambourne, Robert. Predicting Motion. Taylor & Francis Group, 2019.
Lambourne, Robert. Predicting Motion. Taylor & Francis Group, 2019.
Lambourne, Robert. Predicting Motion. Taylor & Francis Group, 2019.