A Mathematical Primer for Social Statistics, Issue 159

Front Cover
SAGE, 2009 - Mathematics - 170 pages
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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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Contents

Matrices Linear Algebra and Vector Geometry
1
An Introduction to Calculus
48
Probability and Estimation
84
FmFoxMathematical45609 782008 811 PM Page vii
113
Linear LeastSquares Regression
152
References
165
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About the author (2009)

John Fox is the Senator William McMaster Professor of Social Statistics in the Sociology Department of McMaster University in Hamilton, Ontario, Canada. Professor Fox earned a Ph.D. in sociology from the University of Michigan in 1972. He has delivered numerous lectures and workshops on statistical topics, at such places as the summer program of the Inter-University Consortium for Political and Social Research, the annual meetings of the American Sociological Association, and the Oxford Spring School in Quantitative Methods for Social Research. He has written many articles on statistics, sociology, and social psychology, and is the author of several books on statistics, including most recently Applied Regression Analysis and Generalized Linear Models, Second Edition (Sage, 2008) and A Mathematical Primer for Social Statistics (Sage, 2009), and (with Sanford Weisberg) An R Companion to Applied Regression, Second Edition (Sage, 2011). Professor Fox is an active contributor to the R Project for Statistical Computing and is a member of the R Foundation. His work on this book was partly supported by a grant from the Social Sciences and Humanities Research Council of Canada..

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