Advances in Stochastic Modelling and Data Analysis
Jacques Janssen (Editor), Christos H. Skiadas (Editor), J. JanssenBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Synopsis
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.
Booknews
A representative collection of essays covering the main topics in ASMDA theory and including applications. The papers examine modeling in finance insurance and economics with concentrations in data analysis, forecasting, and marketing. The discussions on Multicriteria Decision Support Systems (MDSS) and artificial intelligence and neural networks anticipate the field's evolution into even more sophisticated analysis. The majority of these papers were originally presented at the Sixth International Symposium on Applied Stochastic Models and Data Analysis, Chania, Crete, Greece, May 1993. Includes demonstration tables and graphs. Lacks an index. Annotation c. Book News, Inc., Portland, OR (booknews.com)