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A User’s Guide to Statistical Inference and Regression
’s Guide to Statistical Inference and Regression Preface This book, like many before it, will try to teach you statistics. The field of statistics describes how we learn about the world using quantitative data.
We will also cover major concepts such as bias, sampling variance, consistency, and asymptotic normality, which are so common to such a large swath of (frequentist) inference that understanding them at a deep level will yield an enormous return on your time investment. Understanding how these estimators work is vital for conducting research, for reading and reviewing contemporary scholarship, and, frankly, for being a good and valuable colleague in seminars and workshops. Also very special thanks to those who have provided valuable feedback including Zeki Akyol, Noah Dasanaike, Maya Sen, and Jarell Cheong Tze Wen.
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