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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
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.

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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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
Key features
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

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This title is also available on SAGE Knowledge, the ultimate social sciences online library. If your library doesn’t have access, ask your librarian to start a trial.