Audience: A wide readership drawn from theoretical and applied mathematicians, such as operations researchers, management scientists, statisticians, computer scientists, bankers, marketing managers, forecasters, and scientific societies such as EURO and TIMS.

I. Stochastic Modelling in Finance Insurance and Economics.- A Dynamic Stochastic ALM Model for Insurance Companies.- Expected Optimal Exercise Time of a Perpetual American Option: A Closed Form Solution.- Immunization and the Optimal Structure of the Balance Sheet.- Recursive Filtering for the Uhlenbeck Random Field: An Application to Image Restoring.- Forecasting the Electricity Consumption by Applying Stochastic Modelling Techniques: The Case of Greece.- Applied Stochastic Models and Data Analysis for Engineering Education.- II. Data Analysis and Economics.- A Scientific View of Economic and Financial Data Analysis.- Variational Data Analysis Versus Classical Data Analysis.- Characteristics of Meat Demand in Greece.- The Economic Development of the Greek Agricultural Marketing Cooperatives.- Regression Models for Repeated Medical Random Counts.- III. Forecasting and Marketing.- A Lagrangian Approach for the Selection of Growth Functions in Forecasting.- Forecasting Agricultural Commodity Markets Under Policy Constraints. A Retrospective Case Study.- Transfer, Diffusion and Development of Technology of Petrochemical, Plastics and Elastomers in Greece: The factors of the successful transfer (Absorption, development, R&D).- Forecasting the Consumption of Milk and Dairy Products in Greece.- Data Analysis Methods Applied to Agricultural Marketing.- IV. Multicriteria Desision Support Systems.- Designing a Multicriteria Desision Support System for Portfolio Selection and Management.- Comparative Behavioural Analysis of the European Olive Oil Consumer.- The Political Risk in the Foreign Investment Strategic Decisions.- Consumer Behavioural Analysis Using Multicriteria Method.- A Visual Approach to the Procedures of Multicriteria Intelligence Decision Aiding Systems.- V. Artificial Intelligence, Expert Systems and Neural Networks.- Using Typicality to Support Inference and Learning.- Identification of Constrained Robot Dynamics Using Dynamic Neural Networks.- Conception of an Expert System of Control Filtering for Statistical Surveys.- Author Index.