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1681
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1682por Grossmann, FrankMaterias: “…General Theoretical Physics…”
Publicado 2013
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1683
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1684por Shifman, M“…This invaluable collection of memoirs and reviews on scientific activities of the most prominent theoretical physicists belonging to the Landau School - Landau, Anselm, Gribov, Zeldovich, Kirzhnits, Migdal, Ter-Martirosyan and Larkin - are being published in English for the first time. …”
Publicado 2013
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1685
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1686
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1687
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1688
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1689
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1690“…This book provides a concise survey of modern theoretical concepts of X-ray materials analysis. The principle features of the book are: basics of X-ray scattering, interaction between X-rays and matter and new theoretical concepts of X-ray scattering. …”
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1691
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1692“…This book is unique in that it covers the philosophy of model-based data analysis and an omnibus strategy for the analysis of empirical data The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data Kullback-Leibler information represents a fundamental quantity in science and is Hirotugu Akaike's basis for model selection The maximized log-likelihood function can be bias-corrected to provide an estimate of expected, relative Kullback-Leibler information This leads to Akaike's Information Criterion (AIC) and various extensions and these are relatively simple and easy to use in practice, but little taught in statistics classes and far less understood in the applied sciences than should be the case The information theoretic approaches provide a unified and rigorous theory, an extension of likelihood theory, an important application of information theory, and are objective and practical to employ across a very wide class of empirical problems Parameter estimation has long been viewed as an optimization problem (eg, maximize the log-likelihood or minimize the residual sum of squared deviations) and under the information theoretic paradigm, data-based model selection is also an optimization problem This brings model selection and parameter estimation under a common framework - optimization The value of AIC is computed for each a priori model to be considered and the model with the minimum AIC is used for statistical inference However, the paradigm described in this book goes beyond merely the computation and interpretation of AIC to select a parsimonious model for inference from empirical data; it refocuses increased attention on a variety of considerations and modeling prior to the actual analysis of data…”
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1693
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1694
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1695
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1696por The ATLAS collaboration“…The measurement of the mass of the $W$ boson at the LHC requires control of both theoretical and experimental uncertainties. The extraction of the $W$-boson mass from the transverse momentum spectrum of electrons and muons produced in the leptonic decay of the $W$ boson, is likely to be limited by theoretical uncertainties. …”
Publicado 2014
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1697“…The papers in this volume deal with materials science, theoretical mechanics and experimental and computational techniques at multiple scales, providing a sound base and a framework for many applications which are hitherto treated in a phenomenological sense. …”
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1698
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1699Publicado 2015“…The Joint Dutch-Brazil School on Theoretical Physics is now in its third edition with previous schools in 2007 and 2011. …”
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1700