Observers and Macroeconomic Systems is concerned with the computational aspects of using a control-theoretic approach to the analysis of dynamic macroeconomic systems.
Cost Structure and the Measurement of Economic Performance is designed to provide a comprehensive guide for students, researchers or consultants who wish to model, construct, interpret, and use economic performance measures.
Econometric Business Cycle Research deals with econometric business cycle research (EBCR), a term introduced by the Nobel-laureate Jan Tinbergen for his econometric method of testing (economic) business cycle theories.
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 School of Economics and researchers at Olsen & Associates in Zurich, started to collect intra-daily exchange rate data.
Agent-Based Computer Simulation of Dichotomous Economic Growth reports a project in agent-based computer stimulation of processes of economic growth in a population of boundedly rational learning agents.
The three decades which have followed the publication of Heinz Neudecker's seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products' in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.
The aim of Cooperative Games on Combinatorial Structures is to analyze conflict situations in which two or more players can make coalitions and obtain prizes and penalties.
Structural Funds: Growth, Employment and the Environment is a book on the role of transfers designed for assisting sustainable development of less developed regions within the European Union.
Stochastic Volatility in Financial Markets presents advanced topics in financial econometrics and theoretical finance, and is divided into three main parts.
Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models.
Models, Methods, Concepts and Applications of the Analytic Hierarchy Process is a volume dedicated to selected applications of the Analytic Hierarchy Process (AHP) focused on three themes: economics, the social sciences, and the linking of measurement with human values.
Social and Economic Networks in Cooperative Game Theory presents a coherent overview of theoretical literature that studies the influence and formation of networks in social and economic situations in which the relations between participants who are not included in a particular participant's network are not of consequence to this participant.
1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants.
Macroeconomic Policy in the Canadian Economy investigates developments in Canada over the last forty years, using recent advances in the field of applied econometrics.
Technology Commercialization: DEA and Related Analytical Methods for Evaluating The Use and Implementation of Technical Innovation examines both general Research & Development commercialization and targeted new product innovation.
Economists can use computer algebra systems to manipulate symbolic models, derive numerical computations, and analyze empirical relationships among variables.
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).
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.
"e;In this book, Peter Bogetoft - THE expert on the theory and practice of benchmarking - provides an in-depth yet very accessible and readable explanation of the best way to do benchmarking, starting from the ground up.
Complex-Valued Modeling in Economics and Finance outlines the theory, methodology, and techniques behind modeling economic processes using complex variables theory.
Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics.
This book contains some of the results from the research project "e;Demand for Food in the Nordic Countries"e;, which was initiated in 1988 by Professor Olof Bolin of the Agricultural University in Ultuna, Sweden and by Professor Karl Iohan Weckman, of the University of Helsinki, Finland.
This book has taken form over several years as a result of a number of courses taught at the University of Pennsylvania and at Columbia University and a series of lectures I have given at the International Monetary Fund.
This book is designed to provide beginning graduate stu- dents and advanced undergraduates with a rigorous and accessible foundation in the principles of probability and mathematical statistics underlying statis- tical inference in the fields of business and economics.
Probability matching priors, ensuring frequentist validity of posterior credible sets up to the desired order of asymptotics, are of substantial current interest.
Considering the World Gross Domestic Product WGDP as a representation of all the production by humankind, is it possible to define a smallest common quantitative measure, an economic quantum at an individual level, whose aggregate will lead to the word GDP ?
This book has successfully taught introductory statistics to non-mathematicians who had previously failed two semester of statistics or had completed the courses with no idea of what they had done.
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "e;data-analytic thinking"e; necessary for extracting useful knowledge and business value from the data you collect.
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "e;data-analytic thinking"e; necessary for extracting useful knowledge and business value from the data you collect.
A must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries covering the fundamentals of quantitative methodologies; covering both analysis and implementation and examples of use, as well as detailed graphics to aid understanding.
A must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries covering the fundamentals of quantitative methodologies; covering both analysis and implementation and examples of use, as well as detailed graphics to aid understanding.
