Mathematical Primer for Social Statistics
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry;… Celý popis ↓
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Mathematical Primer for Social Statistics
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression.
It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern
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