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
Summary
"More than ever before, modern social scientists require a basic level of mathematical literacy, yet many students receive only limited mathematical training prior to beginning their research careers. This textbook addresses this dilemma by offering a comprehensive, unified introduction to the essential mathematics of social science. Throughout the book the presentation builds from first principles and eschews unnecessary complexity. Most importantly, the discussion is thoroughly and consistently anchored in real social science applications, with more than 80 research-based illustrations woven into the text and featured in end-of-chapter exercises. Students and researchers alike will find this first-of-its-kind volume to be an invaluable resource."--Jacket
Bibliography
Includes bibliographical references (pages 428-437) and indexes
