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Advances in Stochastic Modelling and Data Analysis - new book

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Advances in Stochastic Modelling and Data Analysis
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ISBN:

9048145740


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.

Details of the book - Advances in Stochastic Modelling and Data Analysis


EAN (ISBN-13): 9789048145744
ISBN (ISBN-10): 9048145740
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer-Verlag GmbH
440 Pages
Weight: 0,661 kg
Language: eng/Englisch

Book in our database since 2012-11-01T04:21:30-04:00 (New York)
Detail page last modified on 2023-04-07T11:00:40-04:00 (New York)
ISBN/EAN: 9048145740

ISBN - alternate spelling:
90-481-4574-0, 978-90-481-4574-4
Alternate spelling and related search-keywords:
Book author: janssen, leo constantin
Book title: data net ufo, stochastic analysis

Information from Publisher

Author: Jacques Janssen; Christos H. Skiadas; Constantin Zopounidis
Title: Advances in Stochastic Modelling and Data Analysis
Publisher: Springer; Springer Netherland
428 Pages
Publishing year: 2010-12-01
Dordrecht; NL
Printed / Made in
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
X, 428 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Analysis; Finance; Investment; Marketing; Stochastic model; Stochastic modelling; Stochastic models; artificial intelligence; data analysis; decision support system; expert system; modeling; operations research; robot; Probability Theory; Operations Research and Decision Theory; Artificial Intelligence; Financial Economics; Marketing; Stochastik; Unternehmensforschung; Management: Entscheidungstheorie; Künstliche Intelligenz; Finanzenwesen und Finanzindustrie; Marketing und Vertrieb; BB

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.

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