Mathematics for Economists with Applications

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A01=James Bergin
advanced mathematics for economists
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Age Group_Uncategorized
Author_James Bergin
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Category1=Non-Fiction
Category=KCC
Category=KCH
Category=KJMV5
Category=KJT
Category=PBT
Category=PBW
Chi Square Distribution
Chiang and Wainwright
Complementary Solution
constrained optimisation
COP=United Kingdom
Cramer's Rule
Cramer’s Rule
Dead Weight Loss
Delivery_Delivery within 10-20 working days
differential equations
Distribution Function
Econometrics
economic modelling
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Global Maximum
Hessian Matrix
Homogeneous Equation
Ian Jacques
Implicit Function Theorem
Indifference Curve
Integration
Jth Column
Lagrange Multiplier
Language_English
Linear Algebra
Linear Programming
Linearly Independent
Local Maximum
Mathematics
Matrix Algebra
multivariate calculus
Negative Definite
Negative Semi-definite
Optimization
PA=Available
Positive Definite
Positive Semi-definite
Price_€100 and above
Probability
probability theory
PS=Active
Quadratic Forms
Random Variable
Row Echelon Form
softlaunch
Square Matrix
Strictly Concave
Sydsaeter and Hammond
Taylor Series
Taylor Series Expansions
univariate calculus

Product details

  • ISBN 9780415638289
  • Weight: 1240g
  • Dimensions: 174 x 246mm
  • Publication Date: 18 Dec 2014
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Mathematics for Economists with Applications provides detailed coverage of the mathematical techniques essential for undergraduate and introductory graduate work in economics, business and finance.

Beginning with linear algebra and matrix theory, the book develops the techniques of univariate and multivariate calculus used in economics, proceeding to discuss the theory of optimization in detail. Integration, differential and difference equations are considered in subsequent chapters. Uniquely, the book also features a discussion of statistics and probability, including a study of the key distributions and their role in hypothesis testing. Throughout the text, large numbers of new and insightful examples and an extensive use of graphs explain and motivate the material. Each chapter develops from an elementary level and builds to more advanced topics, providing logical progression for the student, and enabling instructors to prescribe material to the required level of the course.

With coverage substantial in depth as well as breadth, and including a companion website at www.routledge.com/cw/bergin, containing exercises related to the worked examples from each chapter of the book, Mathematics for Economists with Applications contains everything needed to understand and apply the mathematical methods and practices fundamental to the study of economics.

James Bergin is Professor of Economics at Queen’s University, Canada.

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