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The book explores information security concepts and applications from an organizational information perspective and explains the... Læs mere
A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned... Læs mere
With a clear step-by-step approach explained using real world examples, this book provides the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching experience.
Thus, a catalogue of patterns, principles and methods is presented to develop and maintain EA models and views.After a general introduction to the book in chapter 1, chapter 2 presents basic concepts for EA modeling.
This book critically appraises the field of Arts in Health in the light of the recent public health crisis and so-called culture wars. Using genealogical... Læs mere
An accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists.
With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered COVID-19.
This volume analyses the rising inclusion of new and emerging technologies in business. It measures the effectiveness and challenges of these tools in various aspects of strategy and decision making within small and big businesses.