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Mathematics Course for Political and Social Research
Mathematics Course for Political and Social Research
★★★★★
★★★★★
Regular price
€55.99
A01=David A. Siegel
A01=Will H. Moore
Age Group_Uncategorized
Age Group_Uncategorized
Author_David A. Siegel
Author_Will H. Moore
automatic-update
Basis (linear algebra)
Bayesian statistics
Calculation
Category1=Non-Fiction
Category=JHBC
Category=JP
Category=PBW
Central limit theorem
Characteristic equation (calculus)
Characterization (mathematics)
COP=United States
Decision theory
Delivery_Delivery within 10-20 working days
Derivative
Determinant
Diagram (category theory)
Differential calculus
Eigenvalues and eigenvectors
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Equation
Equation solving
Fubini's theorem
Function (mathematics)
Fundamental theorem of calculus
Identity matrix
Inequality (mathematics)
Intersection (set theory)
Interval (mathematics)
Joint probability distribution
Language of mathematics
Language_English
Linear algebra
Markov chain
Mathematical analysis
Mathematical induction
Mathematical logic
Mathematical optimization
Mathematical proof
Mathematician
Mathematics
MathWorld
Matrix (mathematics)
Maxima and minima
Measure (mathematics)
Median voter theorem
Minor (linear algebra)
Moment (mathematics)
Multivariable calculus
Norm (mathematics)
Numerical analysis
Optimization problem
Order of integration (calculus)
PA=Available
Parameter
Parity (mathematics)
Partial derivative
Preference (economics)
Price_€50 to €100
Probability
Probability distribution
Probability theory
Proportionality (mathematics)
PS=Active
Quadratic equation
Quadratic function
Random variable
Range (mathematics)
Rank (linear algebra)
Scientific notation
Series (mathematics)
Set theory
Sign (mathematics)
Simultaneous equations
softlaunch
Statistic
Statistical hypothesis testing
Stochastic calculus
Summation
Tonelli's theorem (functional analysis)
Trace (linear algebra)
Variable (mathematics)
Weighted arithmetic mean
Product details
- ISBN 9780691159171
- Weight: 765g
- Dimensions: 152 x 235mm
- Publication Date: 11 Aug 2013
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
- Language: English
Delivery/Collection within 10-20 working days
Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock
10-20 Working Days: On Backorder
Will Deliver When Available: On Pre-Order or Reprinting
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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
Will H. Moore is professor of political science at Florida State University. David A. Siegel is associate professor of political science at Duke University. He is the coauthor of A Behavioral Theory of Elections (Princeton).
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