A Primer in Econometric Theory av John (Australian National University College of Business and Economics) Stachurski

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<b>A concise treatment of modern econometrics and statistics, including underlying ideas from linear algebra, probability theory, and computer programming.</b><p>This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability theory, and linear algebra. It emphasizes foundations and general principles, but also features many solved exercises, worked examples, and code listings. After mastering the material presented, readers will be ready to take on more advanced work in different areas of quantitative economics and to understand papers from the econometrics literature. The book can be used in graduate-level courses on foundational aspects of econometrics or on fundamental statistical principles. It will also be a valuable reference for independent study.</p><p>One distinctive aspect of the text is its integration of traditional topics from statistics and econometrics with modern ideas from data science and