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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.
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This text demonstrates how to use the multilevel- and longitudinal-modeling techniques available in IBM SPSS (Version 26).
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The book focuses on good programming and coding practice for producing data sets for later analyses, using simulation studies to explore statistical concepts and employing... Læs mere
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Clinical Data Quality Checks for CDISC Compliance using SAS is the first book focused on identifying and correcting data quality and CDISC compliance issues with real-world innovative SAS programming techniques such as Proc SQL, metadata and macro programming.