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This book discusses all major topics on survey sampling and estimation. As a large sample size is not cost-efficient, this book introduces a new method by using the domain... Læs mere
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The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an... Læs mere
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Combining theory with plenty of practical, technical advice – and accompanied by original case studies and data sets – this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs.
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This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
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This third edition of the popular guide to using R reflects recent improvements to the R system, including major advances in graphical user... Læs mere
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The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for... Læs mere
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Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for... Læs mere
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This book discusses the effect of global pandemic, Covid-19, on human resource and draws strategies with new job designing tools and... Læs mere
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The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details kept to an absolute minimum. It could be used as... Læs mere
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This book introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records.