Data Analysis and Applied

 Stochastic Modelling

ISSN: Applied 

Journal metrics

Acceptance rate:  30%
Submission to final decision:  60 days
Acceptance to publication:  45 days

Subject Area: Stochastic Modelling & Computational Sciences

Published in London, UK by Roman Science Publications Inc.
Aim and Scope

Data Analysis and Applied Stochastic Modelling (DAASM) aims to serve as the interface between Applied Stochastic Modelling and Data Analysis and their applications particularly in Business Finance and Insurance Management and Production. The main objective is to publish papers both technical and practical presenting new results which have potential for solving real-life problems. Another objective is to present new methods for solving these problems by analysing the relevant data. Also the use of recent advances in different fields will be promoted such as new optimization and statistical methods data base management and knowledge acquisition expert systems computer-aided decision supports and neural computing. DAASM also publishes significant survey papers as well as papers that compare various relevant approaches for solving important problems. Guest editors will be invited from time to time to devote a section of the Journal to a special subject or theme. These special sections will include papers followed by comments and authors' reactions. The role played by the Journal as an interface between theory and practice means that it will be of great interest to those in both academic and business worlds. The high standard of the Journal will be guaranteed by the presence of an international Editorial Board. This will ensure the efficiency of the refereeing procedure.