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A Mathematical Primer for Social Statistics
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A Mathematical Primer for Social Statistics



July 2008 | 184 pages | SAGE Publications, Inc
Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. This handy volume introduces the areas of mathematics that are most important to applied social statistics.
 
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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John David Fox

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... More About Author

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ISBN: 9781412960809
$30.00 

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