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The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering... Læs mere
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Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized... Læs mere
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This book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification... Læs mere
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This book provides a rigorous but accessible treatment of modern statistical methodology for researchers in the social and health sciences. It provides readers with the mathematical tools to critically engage with cutting-edge statistical methods.
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This book offers a mathematically rigorous introduction to fractals, emphasizing examples and fundamental ideas while minimizing technicalities. The clear... Læs mere
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Provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs), as... Læs mere
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This is the first comprehensive account of controlled diffusions with a focus on ergodic or 'long run average' control. Assuming only graduate-level probability and... Læs mere
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This book is designed for the first time or occasional SAS user who needs immediate guidance in navigating, exploring, visualizing, cleaning and reporting on... Læs mere
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Used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise... Læs mere
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Based on a course taught by the author, this book combines theoretical underpinnings of statistics with practical analysis of... Læs mere
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Computing power has revolutionized the theory and practice of statistical inference. This book delivers a concentrated course in... Læs mere
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An essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics, this timely book is the only comprehensive introduction to... Læs mere