Econometrics and economic statistics

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.

Empirical Studies In Applied Economics presents nine previously unpublished analyses in monograph form.

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.

Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic.

Economists can use computer algebra systems to manipulate symbolic models, derive numerical computations, and analyze empirical relationships among variables.

The present book is the offspring of my Habilitation, which is the key to academic tenure in Austria.

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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This book deals with a number of mathematical topics that are of great importance in the study of classical econometrics.

Nonlinear models have been used extensively in the areas of economics and finance.

This book is a follow up to Social Capital and Health (2008), edited by Kawachi, Subramanian & Kim.

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.

Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability.

The Encyclopedia of Finance, Second Edition, comprised of over 1000 individual definitions and chapters, is the most comprehensive and up-to-date resource in the field, integrating the most current terminology, research, theory, and practical applications.

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.

The Analytic Hierarchy Process (AHP) is a prominent and powerful tool for making decisions in situations involving multiple objectives.

The purpose of this volume is to honour a pioneer in the field of econometrics, A.

This book deals with the methods and practical uses of regression and factor analysis.

A function is convex if its epigraph is convex.

grams of which the objective is given by the ratio of a convex by a positive (over a convex domain) concave function.

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.

The authors, Dominique Ladiray and Benoit Quenneville, provide a unique and comprehensive r~view of the X-11 Method of seasonal adjustment.

lengths, that could not be captured with univariate linear filters.

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.

Which scientific results can we trust?

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.

This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students.

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.

'Robert Peston's compelling account of global financial meltdown is a must-read.

A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time.

A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time.

In a constrained optimization problem, the decisionmaker wants to select the “optimal” choice – the one most valuable to him or her – that also meets all of the constraints imposed by the problem.

In a constrained optimization problem, the decisionmaker wants to select the “optimal” choice – the one most valuable to him or her – that also meets all of the constraints imposed by the problem.

Distribution analysis has advanced remarkably in recent years, and this is a valuable application of its principles to a Canadian context.

In 1958 the Canadian Political Science Association established a committee to look into ways and means of improving statistical research in the social sciences in Canada.

This is the first attempt, using Canadian data and econometric techniques, to study property crime as rational economic behaviour.

This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods.