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A Mathematical Primer for Social Statistics de John Fox

A Mathematical Primer for Social Statistics: Quantitative Applications in the Social Sciences, cartea 159

Autor John Fox
en Limba Engleză Paperback – mar 2021
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 mathematical concepts and operations to a familiar case, linear least-squares regression.
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Specificații

ISBN-13: 9781071833209
ISBN-10: 1071833200
Pagini: 256
Dimensiuni: 140 x 216 x 20 mm
Greutate: 0.27 kg
Ediția:Second Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

About the Author
Series Editor Introduction
Acknowledgments
Preface
Matrices, Linear Algebra, and Vector Geometry: The Basics
Matrix Decompositions and Quadratic Forms
An Introduction to Calculus
Elementary Probability Theory
Common Probability Distributions
An Introduction to Statistical Theory
Putting the Math to Work: Linear Least-Squares Regression
References
Index

Notă biografică

John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.

Descriere

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 mathematical concepts and operations to a familiar case, linear least-squares regression.