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This book presents a unified framework for the tractable analysis of large-scale, multi-antenna wireless networks using stochastic geometry.
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This is a book on bootstrap and related resampling methods for temporal and spatial data exhibiting various forms of dependence.
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In particular, topics from measure theory and from the theory of weak convergence of distributions are treated in detail with reference to m- ern books on probability theory, such as Billingsley (1968), Kallenberg (1997, 2002), and Dudley (2002).
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Computational inference uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation.
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In an extensively updated new edition, this book teaches stochastic programming, with new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter on relationships to other methods and more.
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The purpose of this book is to describe the global properties of complete simply connected spaces that are non-positively curved in the sense of A. There is... Læs mere
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Chapter 4 treats sigma martingales (important in finance theory) and gives a more comprehensive treatment of martingale representation, including both... Læs mere
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A wide variety of models, techniques, and applications are discussed, including normative models that maximize return, extension of choice-based conjoint... Læs mere
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This volume covers various popular data assimilation methods. It demonstrates how the different methods can be derived from a common theoretical basis as well as how they differ and/or are related to each other, and which properties characterize them.
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This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian... Læs mere
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The book concerns the notion of association in probability and statistics. The goal of this book is to bring together the bulk of these results, presenting the theory in a unified way, explaining relations and implications of the results.
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This textbook introduces graduate students in education and policy research to data and statistical methods in state-level higher education policy analysis.