Essential Mathematics for Political and Social Research / Edition 1

Essential Mathematics for Political and Social Research / Edition 1

by Jeff Gill
     
 

ISBN-10: 052168403X

ISBN-13: 9780521684033

Pub. Date: 04/30/2006

Publisher: Cambridge University Press

Essential Mathematics for Political and Social Research addresses an educational deficiency in the social and behavioral sciences. This 2006 book was the first of its kind to specifically address the comprehensive introduction to the mathematical principles needed by modern social scientists. The material introduces basic mathematical principles necessary to do

Overview

Essential Mathematics for Political and Social Research addresses an educational deficiency in the social and behavioral sciences. This 2006 book was the first of its kind to specifically address the comprehensive introduction to the mathematical principles needed by modern social scientists. The material introduces basic mathematical principles necessary to do analytical work in the social sciences, starting from first principles, but without unnecessary complexity. The core purpose is to present fundamental notions in standard notation and standard language with a clear, unified framework throughout. Through examples and exercises, this book is intended to not only motivate specific mathematical principles and practices, but also introduce the way that social science researchers use these tools. The intended emphasis is on conceptual understanding of key principles and their subsequent application.

Product Details

ISBN-13:
9780521684033
Publisher:
Cambridge University Press
Publication date:
04/30/2006
Series:
Analytical Methods for Social Research Series
Edition description:
New Edition
Pages:
476
Sales rank:
871,592
Product dimensions:
5.98(w) x 8.98(h) x 1.06(d)

Table of Contents

1. The basics; 2. Analytic geometry; 3. Linear algebra: vectors, matrices and operations; 4. Linear algebra continued: matrix structure; 5. Elementary scalar calculus; 6. Additional topics in scalar and vector calculus; 7. Probability theory; 8. Random variables; 9. Markov chains.

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