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An introduction to mathematical analysis for economic theory and econometrics
Authors: --- ---
ISBN: 1400833086 Year: 2009 Publisher: Princeton ; Oxford : Princeton University Press,

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Abstract

The authors offer an introduction to mathematical analysis with applications in economic theory & econometrics.

Keywords

Economics, Mathematical. --- Mathematical analysis. --- Econometrics. --- Approximation. --- Axiom of choice. --- Banach space. --- Bijection. --- Bounded function. --- Budget set. --- Calculation. --- Cardinality. --- Cauchy sequence. --- Central limit theorem. --- Combination. --- Compact space. --- Complete metric space. --- Concave function. --- Conditional expectation. --- Continuous function (set theory). --- Continuous function. --- Contraction mapping. --- Contradiction. --- Convex analysis. --- Convex set. --- Countable set. --- Dense set. --- Differentiable function. --- Dimension (vector space). --- Dimension. --- Division by zero. --- Dynamic programming. --- Empty set. --- Equation. --- Equivalence class. --- Estimator. --- Existential quantification. --- Finite set. --- Fixed-point theorem. --- Function (mathematics). --- Hahn–Banach theorem. --- Independence (probability theory). --- Indicator function. --- Inequality (mathematics). --- Infimum and supremum. --- Intermediate value theorem. --- Karush–Kuhn–Tucker conditions. --- Law of large numbers. --- Lebesgue measure. --- Limit of a sequence. --- Limit superior and limit inferior. --- Linear algebra. --- Linear function. --- Linear map. --- Linear subspace. --- Loss function. --- Markov chain. --- Mathematical optimization. --- Mathematics. --- Maximal element. --- Measurable function. --- Measure (mathematics). --- Metric space. --- Monotonic function. --- Normed vector space. --- Null set. --- Open set. --- Optimization problem. --- Parameter. --- Pareto efficiency. --- Partially ordered set. --- Preference (economics). --- Preference relation. --- Probability distribution. --- Probability space. --- Probability theory. --- Probability. --- Quantity. --- Random variable. --- Rational number. --- Real number. --- Scientific notation. --- Sequence. --- Set (mathematics). --- Simple function. --- Special case. --- Stochastic process. --- Stone–Weierstrass theorem. --- Subsequence. --- Subset. --- Summation. --- Surjective function. --- Theorem. --- Topological space. --- Topology. --- Uncountable set. --- Uniform continuity. --- Uniform distribution (discrete). --- Union (set theory). --- Upper and lower bounds. --- Utility. --- Variable (mathematics). --- Vector space. --- Zorn's lemma.

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