A Mathematics Course for Political and Social Research / / Will H. Moore, David A. Siegel.
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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| Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
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| VerfasserIn: | |
| Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2013] ©2013 |
| Year of Publication: | 2013 |
| Edition: | Course Book |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (456 p.) :; 57 line illus. 18 tables. |
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Table of Contents:
- 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