Applied time series modelling and forecasting

A time series is a sequence of numerical data in which each item is associated with a particular instant in time. Examples of time series include: monthly unemployment figures, weekly measures of money supply and daily closing prices of stock indices. This text covers time ...

Satisficing games and decision making

with applications to engineering and computer science

In our day-to-day lives we constantly make decisions which are simply #good enough# rather than optimal. Most computer-based decision making algorithms, on the other hand, doggedly seek only the optimal solution based on rigid criteria and reject any others. In this book, Professor Stirling outlines ...

Conjoint measurement

methods and applications

Edited by Anders Gustafsson, Andreas Herrmann, and Frank The book covers all recent developments in Conjoint Analysis. Leading scientists present theory and applications of this technique. In short, the following models, techniques, and applications are discussed: normative models that maximize return, extension of choice-based conjoint ...

Distributed decision making

Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic ...

Economic growth

After an introductory discussion of economic growth, the book examines neoclassical growth theories, from Solow-Swan in the 1950s and Cass- Koopmans in the 1960s to more recent refinements; this is followed by a discussion of extensions to the model, with expanded treatment in this edition ...

Differencial games in marketing

An important branch of marketing science is optimal planning of marketing effort, using mathematical modelling and quantitative methods. Here it is important to recognize that the majority of marketing problems are dynamic and involve strategic considerations. Thus, most marketing instruments have impacts that go beyond ...

Fuzzy logic in management

Fuzzy Logic In Management demonstrates that difficult problems and changes in the management environment can be more easily handled by bringing fuzzy logic into the practice of management INDICE Chapter 1, "Management and Intelligent Support Technologies", is a short survey of management leadership and what ...

A companion to economic forecasting

A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together in a single volume a range of contrasting approaches and views. Uniquely ...

Practical business forecasting

Modelling income distribution

Principles of forecasting

a handbook for researchers and practitioners

Recent developments in nonlinear cointegration with applications to macroeconomics and finance

Stochastic modeling in economics and finance

Credible threats in negotiations

A game-theoretic approach

Optimal control and differential games

essays in honour of Steffen Jorgensen

Metodología econométrica

análisis de indicadores cíclicos

Contributions to financial econometrics

theoretical and practical issues

This volume presents five survey papers on time series econometrics, and a modern financial econometrics software package. Starting with a survey of recent theoretical developments for time series models with GARCH errors, the contributions go on to examine the bootstrapping of financial time series, developments ...

Essays in econometrics. Collected Papers of Clive W. J. Granger

Vol.II: Casuality, integration and cointegration, and long memory

This book, and its companion volume in the Econometric Society Monographs series (ESM number 32), present a collection of papers by Clive W. J. Granger. His contributions to economics and econometrics, many of them seminal, span more than four decades and touch on all aspects ...

The econometric analysis of seasonal time series

Eric Ghysels and Denise R. Osborn provide a thorough and timely review of the recent developments in the econometric analysis of seasonal economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear nonstationary seasonal ...

Applications of differential geometry to econometrics

Although geometry has always aided intuition in econometrics, more recently differential geometry has become a standard tool in the analysis of statistical models, offering a deeper appreciation of existing methodologies and highlighting the essential issues which can be hidden in an algebraic development of a ...