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A Mathematics Course for Political and Social Research /

Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are w...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Moore, Will H. (Autor), Siegel, David A. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, NJ : Princeton University Press, [2013]
Edición:Course Book
Temas:
Acceso en línea:Texto completo
Texto completo
Tabla de Contenidos:
  • Frontmatter
  • Contents
  • List of Figures
  • List of Tables
  • Preface
  • Part I. Building Blocks
  • Chapter One. Preliminaries Math
  • Chapter Two. Algebra Review
  • Chapter Three. Functions, Relations, and Utility
  • Chapter Four. Limits and Continuity, Sequences and Series, and More on Sets
  • Part II. Calculus in One Dimension
  • Chapter Five. Introduction to Calculus and the Derivative
  • Chapter Six. The Rules of Differentiation
  • Chapter Seven. The Integral
  • Chapter Eight. Extrema in One Dimension
  • Part III. Probability
  • Chapter Nine. An Introduction to Probability
  • Chapter Ten. An Introduction to (Discrete) Distributions
  • Chapter Eleven. Continuous Distributions
  • Part IV. Linear Algebra
  • Chapter Twelve. Fun with Vectors and Matrices
  • Chapter Thirteen. Vector Spaces and Systems of Equations
  • Chapter Fourteen. Eigenvalues and Markov Chains
  • Part V. Multivariate Calculus and Optimization
  • Chapter Fifteen. Multivariate Calculus
  • Chapter Sixteen. Multivariate Optimization
  • Chapter Seventeen. Comparative Statics and Implicit Dierentiation
  • Bibliography
  • Index