A Mathematical Primer for Social Statistics

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Overview

John Fox’s A Mathematical Primer for Social Statistics covers many often ignored yet important topics in mathematics and mathematical statistics. This text provides readers with the foundation on which an understanding of applied statistics rests.

Key Features

· Covers matrices, linear algebra, and vector geometry

· Discusses basic differential and integral calculus

· Focuses on probability and statistical estimation

· Develops by way of illustration the seminal statistical method of linear least-squares regression

Intended Audience

This book is ideal for advanced undergraduates, graduate students, and researchers in the social sciences who need to understand and use relatively advanced statistical methods but whose mathematical preparation for this work is insufficient.

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Product Details

Meet the Author

John Fox is professor of sociology at Mc Master University in Hamilton, Ontario, Canada. Fox earned a Ph D in sociology from the University of Michigan in 1972, and prior to arriving at Mc Master, he taught at the University of Alberta and at York University in Toronto, where he was cross-appointed in the sociology and mathematics and statistics departments and directed the university's statistical consulting service. He has delivered numerous lectures and workshops on statistical topics in North and South America, Europe, and Asia, at such places as the summer program of the Inter-University Consortium for Political and Social Research, the Oxford University Spring School in Quantitative Methods for Social Research, and the annual meetings of the American Sociological Association. Much of his recent work has been on formulating methods for visualizing complex statistical models and on developing software in the R statistical computing environment. He is the author and co-author of many articles, in such journals as Sociological Methodology, Sociological Methods and Research, The Journal of the American Statistical Association, The Journal of Statistical Software, The Journal of Computational and Graphical Statistics, Statistical Science, Social Psychology Quarterly, The Canadian Review of Sociology and Anthropology, and The Canadian Journal of Sociology. He has written a number of other books, including Regression Diagnostics (SAGE, 1991), Nonparametric Simple Regression (SAGE, 2000), Multiple and General-ized Nonparametric Regression (SAGE, 2000), A Mathematical Primer for Social Statistics (SAGE, 2008), and, with Sanford Weisberg, An R Companion to Applied Regression, Second Edition (SAGE, 2010). Fox also edits the SAGE Quantitative Applications in the Social Sciences (QASS) monograph series.

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Table of Contents

Series Editor Introduction
Preface
1 - Matrices, Linear Algebra, Vector Geometry
2 - An Introduction to Calculus
3 - Probability and Estimation
4 - Putting the Math to Work
References
Index

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