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Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data.
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Stochastic Volatility in Financial Markets presents advanced topics in financial econometrics and theoretical finance, and is divided into three main parts.
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In the late 1980s, as the empirical appeal of macro-economic exchange rate models began to fade, a few people including Professor Charles Goodhart at the London... Læs mere
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Mathematical economics uses mathematical tools and reasoning to describe and explain economic reality.
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Including detailed instructions for using the latest data envelopment and stochastic frontier methods of analysis in benchmarking, this book by the leading expert in the field brings his expertise to bear in an accessible treatment of leading-edge techniques.
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The Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making.
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A number of clubs in professional sports leagues exhibit winning streaks over a number of consecutive seasons that do not conform to the standard economic model of a professional sports league developed by El Hodiri and Quirk (1994) and Fort and Quirk (1995).
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The book also covers pseudo-inverses, solutions to systems of linear equations, solutions of vector difference equations with constant coefficients and random forcing functions, matrix differentiation, and permutation matrices.
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Chapters are essentially self-contained and may be covered in full, in part, and in any order.Appropriate one- and two-semester courses... Læs mere