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 volume concludes by applying...
Зміст
About the Author
Series Editor Introduction
Acknowledgments
Preface
Matrices, Linear Algebra, and Vector Geometry: The Basics
Matrix Decompositions and Quadratic Forms
An Intr...
Про автора
John Fox received a BA from the City College of New York and a Ph D from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at Mc Master...