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A method of averaging in the theory of orthogonal series and some problems in the theory of bases
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ISBN: 0821830457 Year: 1980 Publisher: Providence (R.I.): American Mathematical Society

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Multiphase averaging for classical systems : with applications to adiabatic theorems
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ISBN: 0387967788 1461210445 9780387967783 Year: 1988 Volume: 72 Publisher: New York, NY : Springer,


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Introduction to the Thermodynamically Constrained Averaging Theory for Porous Medium Systems
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ISBN: 331904009X 3319040103 Year: 2014 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Thermodynamically constrained averaging theory provides a consistent method for upscaling conservation and thermodynamic equations for application in the study of porous medium systems.  The method provides dynamic equations for phases, interfaces, and common curves that are closely based on insights from the entropy inequality. All larger scale variables in the equations are explicitly defined in terms of their microscale precursors, facilitating the determination of important parameters and macroscale state equations based on microscale experimental and computational analysis. The method requires that all assumptions that lead to a particular equation form be explicitly indicated, a restriction which is useful in ascertaining the range of applicability of a model as well as potential sources of error and opportunities to improve the analysis.


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Model Averaging
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ISBN: 3662585413 3662585405 Year: 2018 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the methods developed in this area, illustrating many of them with examples from the life sciences involving real-world data. It also includes an extensive list of references and suggestions for further research. Further, it clearly demonstrates the links between the methods developed in statistics, econometrics and machine learning, as well as the connection between the Bayesian and frequentist approaches to model averaging. The book appeals to statisticians and scientists interested in what methods are available, how they differ and what is known about their properties. It is assumed that readers are familiar with the basic concepts of statistical theory and modelling, including probability, likelihood and generalized linear models.

Averaging methods in nonlinear dynamical systems
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ISBN: 1281066206 9786611066208 0387489185 0387489169 1441923764 Year: 2007 Publisher: New York : Springer,

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Perturbation theory and in particular normal form theory has shown strong growth during the last decades. So it is not surprising that the authors have presented an extensive revision of the first edition of the Averaging Methods in Nonlinear Dynamical Systems book. There are many changes, corrections and updates in chapters on Basic Material and Asymptotics, Averaging, and Attraction. Chapters on Periodic Averaging and Hyperbolicity, Classical (first level) Normal Form Theory, Nilpotent (classical) Normal Form, and Higher Level Normal Form Theory are entirely new and represent new insights in averaging, in particular its relation with dynamical systems and the theory of normal forms. Also new are surveys on invariant manifolds in Appendix C and averaging for PDEs in Appendix E. Since the first edition, the book has expanded in length and the third author, James Murdock has been added. Review of First Edition "One of the most striking features of the book is the nice collection of examples, which range from the very simple to some that are elaborate, realistic, and of considerable practical importance. Most of them are presented in careful detail and are illustrated with profuse, illuminating diagrams." - Mathematical Reviews.


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Large deviations and adiabatic transitions for dynamical systems and Markov processes in fully coupled averaging.
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ISBN: 9780821844250 0821844253 Year: 2009 Publisher: Providence American Mathematical Society

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