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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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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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The book covers five areas in manufacturing: project scheduling, job shop scheduling, scheduling of flexible assembly systems, economic lot scheduling, and planning and scheduling in supply chains.
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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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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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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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The estimation and the validation of the Basel II risk parameters PD (default probability), LGD (loss given fault), and EAD (exposure at default) is an important problem in banking practice.
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Bemærk: Kan ikke leveres før jul.
This is THE book for a capable graduate student starting out on research in probability: the effect of working through it is as if the authors are sitting... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Published in 2015, this book not only addresses these issues in a scientific and objective manner but also leads the reader through new search paths. Many... Læs mere