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This book brings together different metaphors that are being used to describe risk and apply these in high-risk... Læs mere
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Nanohertz Gravitational Wave Astronomy explores the exciting hunt for low frequency gravitational waves by using the extraordinary timing precision of pulsars.
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This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models.
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This book introduces general definitions of third-variable effects that are adaptable to all different types of... Læs mere
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Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high... Læs mere
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Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful... Læs mere
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A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and... Læs mere
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A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and... Læs mere
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This book focuses on all the relevant topics of Deep Learning. It covers the conceptual, mathematical and practical aspects of deep learning & offers real time... Læs mere
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Actuaries should have the tools they need. Practical and rigorous, this books introduces GLMs in the actuarial context. All techniques are illustrated on... Læs mere
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Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time. They find application particularly in biostatistics, medicine, and public health.
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Interpreting Statistics for Beginners teaches readers to correctly read and interpret results of basic statistical procedures as they are presented in scientific literature, and to understand what they can and cannot infer from such results.