An Introduction to Mathematical Analysis for Economic Theory and Econometrics / / Dean Corbae, Maxwell B. Stinchcombe, Juraj Zeman.

Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today. Dean Corbae, Maxwell B. S...

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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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Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2009]
©2009
Year of Publication:2009
Language:English
Online Access:
Physical Description:1 online resource (688 p.) :; 55 line illus.
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050 4 |a HB135 .C657 2011 
072 7 |a BUS021000  |2 bisacsh 
082 0 4 |a 330.015195 
100 1 |a Corbae, Dean,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 3 |a An Introduction to Mathematical Analysis for Economic Theory and Econometrics /  |c Dean Corbae, Maxwell B. Stinchcombe, Juraj Zeman. 
264 1 |a Princeton, NJ :   |b Princeton University Press,   |c [2009] 
264 4 |c ©2009 
300 |a 1 online resource (688 p.) :  |b 55 line illus. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 0 |t Frontmatter --   |t Contents --   |t Preface --   |t User’s Guide --   |t Notation --   |t CHAPTER 1 Logic --   |t CHAPTER 2 Set Theory --   |t CHAPTER 3 The Space of Real Numbers --   |t CHAPTER 4 The Finite-Dimensional Metric Space of Real Vectors --   |t CHAPTER 5 Finite-Dimensional Convex Analysis --   |t CHAPTER 6 Metric Spaces --   |t CHAPTER 7 Measure Spaces and Probability --   |t CHAPTER 8 The Lp ( Ω, F, P) and lp Spaces, p ∈ [1,∞] --   |t CHAPTER 9 Probabilities on Metric Spaces --   |t CHAPTER 10 Infinite-Dimensional Convex Analysis --   |t CHAPTER 11 Expanded Spaces --   |t Index 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today. Dean Corbae, Maxwell B. Stinchcombe, and Juraj Zeman equip students with the knowledge of real and functional analysis and measure theory they need to read and do research in economic and econometric theory. Unlike other mathematics textbooks for economics, An Introduction to Mathematical Analysis for Economic Theory and Econometrics takes a unified approach to understanding basic and advanced spaces through the application of the Metric Completion Theorem. This is the concept by which, for example, the real numbers complete the rational numbers and measure spaces complete fields of measurable sets. Another of the book's unique features is its concentration on the mathematical foundations of econometrics. To illustrate difficult concepts, the authors use simple examples drawn from economic theory and econometrics. Accessible and rigorous, the book is self-contained, providing proofs of theorems and assuming only an undergraduate background in calculus and linear algebra. Begins with mathematical analysis and economic examples accessible to advanced undergraduates in order to build intuition for more complex analysis used by graduate students and researchers Takes a unified approach to understanding basic and advanced spaces of numbers through application of the Metric Completion Theorem Focuses on examples from econometrics to explain topics in measure theory 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) 
650 0 |a Business. 
650 0 |a Econometrics. 
650 0 |a Economics, Mathematical. 
650 0 |a Mathematical analysis. 
650 7 |a BUSINESS & ECONOMICS / Econometrics.  |2 bisacsh 
653 |a Approximation. 
653 |a Axiom of choice. 
653 |a Banach space. 
653 |a Bijection. 
653 |a Bounded function. 
653 |a Budget set. 
653 |a Calculation. 
653 |a Cardinality. 
653 |a Cauchy sequence. 
653 |a Central limit theorem. 
653 |a Combination. 
653 |a Compact space. 
653 |a Complete metric space. 
653 |a Concave function. 
653 |a Conditional expectation. 
653 |a Continuous function (set theory). 
653 |a Continuous function. 
653 |a Contraction mapping. 
653 |a Contradiction. 
653 |a Convex analysis. 
653 |a Convex set. 
653 |a Countable set. 
653 |a Dense set. 
653 |a Differentiable function. 
653 |a Dimension (vector space). 
653 |a Dimension. 
653 |a Division by zero. 
653 |a Dynamic programming. 
653 |a Empty set. 
653 |a Equation. 
653 |a Equivalence class. 
653 |a Estimator. 
653 |a Existential quantification. 
653 |a Finite set. 
653 |a Fixed-point theorem. 
653 |a Function (mathematics). 
653 |a Hahn–Banach theorem. 
653 |a Independence (probability theory). 
653 |a Indicator function. 
653 |a Inequality (mathematics). 
653 |a Infimum and supremum. 
653 |a Intermediate value theorem. 
653 |a Karush–Kuhn–Tucker conditions. 
653 |a Law of large numbers. 
653 |a Lebesgue measure. 
653 |a Limit of a sequence. 
653 |a Limit superior and limit inferior. 
653 |a Linear algebra. 
653 |a Linear function. 
653 |a Linear map. 
653 |a Linear subspace. 
653 |a Loss function. 
653 |a Markov chain. 
653 |a Mathematical optimization. 
653 |a Mathematics. 
653 |a Maximal element. 
653 |a Measurable function. 
653 |a Measure (mathematics). 
653 |a Metric space. 
653 |a Monotonic function. 
653 |a Normed vector space. 
653 |a Null set. 
653 |a Open set. 
653 |a Optimization problem. 
653 |a Parameter. 
653 |a Pareto efficiency. 
653 |a Partially ordered set. 
653 |a Preference (economics). 
653 |a Preference relation. 
653 |a Probability distribution. 
653 |a Probability space. 
653 |a Probability theory. 
653 |a Probability. 
653 |a Quantity. 
653 |a Random variable. 
653 |a Rational number. 
653 |a Real number. 
653 |a Scientific notation. 
653 |a Sequence. 
653 |a Set (mathematics). 
653 |a Simple function. 
653 |a Special case. 
653 |a Stochastic process. 
653 |a Stone–Weierstrass theorem. 
653 |a Subsequence. 
653 |a Subset. 
653 |a Summation. 
653 |a Surjective function. 
653 |a Theorem. 
653 |a Topological space. 
653 |a Topology. 
653 |a Uncountable set. 
653 |a Uniform continuity. 
653 |a Uniform distribution (discrete). 
653 |a Union (set theory). 
653 |a Upper and lower bounds. 
653 |a Utility. 
653 |a Variable (mathematics). 
653 |a Vector space. 
653 |a Zorn's lemma. 
700 1 |a Stinchcombe, Maxwell B.,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Zeman, Juraj,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
773 0 8 |i Title is part of eBook package:  |d De Gruyter  |t Princeton University Press eBook-Package Backlist 2000-2013  |z 9783110442502 
856 4 0 |u https://doi.org/10.1515/9781400833085?locatt=mode:legacy 
856 4 0 |u https://www.degruyter.com/isbn/9781400833085 
856 4 2 |3 Cover  |u https://www.degruyter.com/document/cover/isbn/9781400833085/original 
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