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Fundamentals of Physics and Chemistry of the Atmosphere
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Physics Democracy and Public Space: The Physical Sites of Democratic Performance
Statistical and Thermal Physics - With Computer Applications
Introduction to the Physics of the Earth's Interior (Cambridge Topics in Mineral Ph) by Jean Paul Poirier (Repost)
Physics Principles and Labs for Physical Fitness, 7 edition by Wener W.K. Hoeger
Paul W. Zitzewitz, T. G. Elliott, "Physics: Principles and Problems" (Repost)
Physics Research for a Future in Space: The Role of Life and Physical Sciences
"Physics, Topology, Logic and Computation: A Rosetta Stone" by John C. Baez adn Mike Stay
Physics Black Hat - Physical Device Security. Exploiting Hardware and Software
Physics Lifetime Physical Fitness and Wellness - A Personalized Program, 10th edition
The Dreams That Stuff Is Made Of - The Most Astounding Papers of Quantum Physics--and How They Shook the Scientific World
"Quantum Physics for Scientists and Technologists" by Paul Sanghera (Repost)
C-algebras and applications to physics by A. Dold
Hyberbolic Conservation Laws in Continuum Physics (Grundlehren der mathematischen Wissenschaften) by C. M. Dafermos
Applications of Random Matrices in Physics by Edouard Brezin
Handbook of Chemistry and Physics (repost)
Few-Body Problems in Physics [Repost]
Physics Maya Training Tutorials - Maya Physical Dynamics CD-ViH
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Physics Statistical Inference, Econometric Analysis and Matrix Algebra: Festschrift in Honour of G?tz Trenkler
Posted on 2010-04-12
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More Statistical Inference, Econometric Analysis and Matrix Algebra: Festschrift in Honour of G?tz Trenkler This unique collection of essays extends the frontiers of knowledge in econometrics as well as classical fields of statistical inference. Among others, it presents advances in stochastic processes, in the design of experiments and in the analysis of variance. Moreover, several papers on modern matrix algebra provide insights into up-to-date approaches in quantitative methods and show once more how useful a tool this is in modern mathematics-based data analysis. The book will therefore be of key interest to anybody working as a practitioner in statistical data analysis or as a researcher in modern statistical science.
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