Advances in Stochastic Modelling and Data Analysis [electronic resource] /

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.

Saved in:
Bibliographic Details
Main Authors: Janssen, Jacques. editor., Skiadas, Christos H. editor., Zopounidis, Constantin. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1995
Subjects:Mathematics., Marketing., Operations research., Decision making., Finance., Artificial intelligence., Probabilities., Probability Theory and Stochastic Processes., Operation Research/Decision Theory., Artificial Intelligence (incl. Robotics)., Finance, general.,
Online Access:http://dx.doi.org/10.1007/978-94-017-0663-6
Tags: Add Tag
No Tags, Be the first to tag this record!
id KOHA-OAI-TEST:212919
record_format koha
spelling KOHA-OAI-TEST:2129192018-07-30T23:46:41ZAdvances in Stochastic Modelling and Data Analysis [electronic resource] / Janssen, Jacques. editor. Skiadas, Christos H. editor. Zopounidis, Constantin. editor. SpringerLink (Online service) textDordrecht : Springer Netherlands : Imprint: Springer,1995.engAdvances 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.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.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.Mathematics.Marketing.Operations research.Decision making.Finance.Artificial intelligence.Probabilities.Mathematics.Probability Theory and Stochastic Processes.Operation Research/Decision Theory.Artificial Intelligence (incl. Robotics).Finance, general.Marketing.Springer eBookshttp://dx.doi.org/10.1007/978-94-017-0663-6URN:ISBN:9789401706636
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Mathematics.
Marketing.
Operations research.
Decision making.
Finance.
Artificial intelligence.
Probabilities.
Mathematics.
Probability Theory and Stochastic Processes.
Operation Research/Decision Theory.
Artificial Intelligence (incl. Robotics).
Finance, general.
Marketing.
Mathematics.
Marketing.
Operations research.
Decision making.
Finance.
Artificial intelligence.
Probabilities.
Mathematics.
Probability Theory and Stochastic Processes.
Operation Research/Decision Theory.
Artificial Intelligence (incl. Robotics).
Finance, general.
Marketing.
spellingShingle Mathematics.
Marketing.
Operations research.
Decision making.
Finance.
Artificial intelligence.
Probabilities.
Mathematics.
Probability Theory and Stochastic Processes.
Operation Research/Decision Theory.
Artificial Intelligence (incl. Robotics).
Finance, general.
Marketing.
Mathematics.
Marketing.
Operations research.
Decision making.
Finance.
Artificial intelligence.
Probabilities.
Mathematics.
Probability Theory and Stochastic Processes.
Operation Research/Decision Theory.
Artificial Intelligence (incl. Robotics).
Finance, general.
Marketing.
Janssen, Jacques. editor.
Skiadas, Christos H. editor.
Zopounidis, Constantin. editor.
SpringerLink (Online service)
Advances in Stochastic Modelling and Data Analysis [electronic resource] /
description 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.
format Texto
topic_facet Mathematics.
Marketing.
Operations research.
Decision making.
Finance.
Artificial intelligence.
Probabilities.
Mathematics.
Probability Theory and Stochastic Processes.
Operation Research/Decision Theory.
Artificial Intelligence (incl. Robotics).
Finance, general.
Marketing.
author Janssen, Jacques. editor.
Skiadas, Christos H. editor.
Zopounidis, Constantin. editor.
SpringerLink (Online service)
author_facet Janssen, Jacques. editor.
Skiadas, Christos H. editor.
Zopounidis, Constantin. editor.
SpringerLink (Online service)
author_sort Janssen, Jacques. editor.
title Advances in Stochastic Modelling and Data Analysis [electronic resource] /
title_short Advances in Stochastic Modelling and Data Analysis [electronic resource] /
title_full Advances in Stochastic Modelling and Data Analysis [electronic resource] /
title_fullStr Advances in Stochastic Modelling and Data Analysis [electronic resource] /
title_full_unstemmed Advances in Stochastic Modelling and Data Analysis [electronic resource] /
title_sort advances in stochastic modelling and data analysis [electronic resource] /
publisher Dordrecht : Springer Netherlands : Imprint: Springer,
publishDate 1995
url http://dx.doi.org/10.1007/978-94-017-0663-6
work_keys_str_mv AT janssenjacqueseditor advancesinstochasticmodellinganddataanalysiselectronicresource
AT skiadaschristosheditor advancesinstochasticmodellinganddataanalysiselectronicresource
AT zopounidisconstantineditor advancesinstochasticmodellinganddataanalysiselectronicresource
AT springerlinkonlineservice advancesinstochasticmodellinganddataanalysiselectronicresource
_version_ 1756269134589460480