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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Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2013] ©2013 |
Year of Publication: | 2013 |
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Physical Description: | 1 online resource (456 p.) :; 57 line illus. 18 tables. |
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Moore, Will H., author. aut http://id.loc.gov/vocabulary/relators/aut A Mathematics Course for Political and Social Research / Will H. Moore, David A. Siegel. Course Book Princeton, NJ : Princeton University Press, [2013] ©2013 1 online resource (456 p.) : 57 line illus. 18 tables. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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 restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 written for mathematics or economics majors, and fail to convey to students of political science and sociology the reasons for learning often-abstract mathematical concepts. A Mathematics Course for Political and Social Research fills this gap, providing both a primer for math novices in the social sciences and a handy reference for seasoned researchers. The book begins with the fundamental building blocks of mathematics and basic algebra, then goes on to cover essential subjects such as calculus in one and more than one variable, including optimization, constrained optimization, and implicit functions; linear algebra, including Markov chains and eigenvectors; and probability. It describes the intermediate steps most other textbooks leave out, features numerous exercises throughout, and grounds all concepts by illustrating their use and importance in political science and sociology. Uniquely designed and ideal for students and researchers in political science and sociology Uses practical examples from political science and sociology Features "Why Do I Care?" sections that explain why concepts are useful Includes numerous exercises Complete online solutions manual (available only to professors, email david.siegel at duke.edu, subject line "Solution Set") Selected solutions available online to students Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Mathematics Study and teaching (Higher) Methodology. Mathematics Study and teaching (Higher) Political aspects. Mathematics Study and teaching (Higher) Social aspects. POLITICAL SCIENCE / History & Theory. bisacsh Siegel, David A., author. aut http://id.loc.gov/vocabulary/relators/aut Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 9783110442502 https://doi.org/10.1515/9781400848614 https://www.degruyter.com/isbn/9781400848614 Cover https://www.degruyter.com/cover/covers/9781400848614.jpg |
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English |
format |
eBook |
author |
Moore, Will H., Moore, Will H., Siegel, David A., |
spellingShingle |
Moore, Will H., Moore, Will H., Siegel, David A., A Mathematics Course for Political and Social Research / 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 |
author_facet |
Moore, Will H., Moore, Will H., Siegel, David A., Siegel, David A., Siegel, David A., |
author_variant |
w h m wh whm w h m wh whm d a s da das |
author_role |
VerfasserIn VerfasserIn VerfasserIn |
author2 |
Siegel, David A., Siegel, David A., |
author2_variant |
d a s da das |
author2_role |
VerfasserIn VerfasserIn |
author_sort |
Moore, Will H., |
title |
A Mathematics Course for Political and Social Research / |
title_full |
A Mathematics Course for Political and Social Research / Will H. Moore, David A. Siegel. |
title_fullStr |
A Mathematics Course for Political and Social Research / Will H. Moore, David A. Siegel. |
title_full_unstemmed |
A Mathematics Course for Political and Social Research / Will H. Moore, David A. Siegel. |
title_auth |
A Mathematics Course for Political and Social Research / |
title_alt |
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 |
title_new |
A Mathematics Course for Political and Social Research / |
title_sort |
a mathematics course for political and social research / |
publisher |
Princeton University Press, |
publishDate |
2013 |
physical |
1 online resource (456 p.) : 57 line illus. 18 tables. |
edition |
Course Book |
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 |
isbn |
9781400848614 9783110442502 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA11 |
callnumber-sort |
QA 211.2 M66 42013EB |
url |
https://doi.org/10.1515/9781400848614 https://www.degruyter.com/isbn/9781400848614 https://www.degruyter.com/cover/covers/9781400848614.jpg |
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Illustrated |
doi_str_mv |
10.1515/9781400848614 |
oclc_num |
851157136 |
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hierarchy_parent_title |
Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
is_hierarchy_title |
A Mathematics Course for Political and Social Research / |
container_title |
Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
author2_original_writing_str_mv |
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