Advances in Stochastic Modelling and Data Analysis

  • Jacques Janssen
  • Christos H. Skiadas
  • Constantin Zopounidis

Table of contents

  1. Front Matter
    Pages i-x
  2. Stochastic Modelling in Finance, Insurance and Economics

  3. Data Analysis and Economics

    1. Front Matter
      Pages 109-109
    2. M. Demoussis, P. Drakos
      Pages 159-167
    3. K. Oustapassidis, A. Sergaki, G. Baourakis
      Pages 168-176
  4. Forecasting and Marketing

About this book

Introduction

Advances in Stochastic Modelling and Data Analysis presents the most recent developments in the field, together with their applications, mainly in the areas of insurance, finance, forecasting and marketing. In addition, the possible interactions between data analysis, artificial intelligence, decision support systems and multicriteria analysis are examined by top researchers.
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.

Keywords

Analysis Finance Investment Marketing Stochastic model Stochastic modelling Stochastic models artificial intelligence data analysis decision support system expert system modeling operations research robot

Editors and affiliations

  • Jacques Janssen
    • 1
  • Christos H. Skiadas
    • 2
  • Constantin Zopounidis
    • 2
  1. 1.Centre for Data Analysis and Stochastic ProcessesFree University BrusselsBrusselsBelgium
  2. 2.Department of Production Engineering and ManagementTechnical University of CreteChania, CreteGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-0663-6
  • Copyright Information Springer Science+Business Media B.V. 1995
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4574-4
  • Online ISBN 978-94-017-0663-6
  • About this book
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