Applied Stochastic Models in Business and Industry
Vol 31 (6 Issues in 2015)
Editor-in-Chief: Fabrizio Ruggeri, CNR-IMATI, Milan, Italy; Editors: Nalini Ravishanker, University of Connecticut, USA and Emmanuel Yashchin, IBM, USA
Print ISSN: 1524-1904 Online ISSN: 1526-4025
Impact Factor: 0.725
Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. A second objective is to present new methods for solving such problems, i.e. optimization, data base management, knowledge acquisition, expert systems, computer-aided decision supports and neural computing.
The scope of the journal is now broadened both in supporting topics and in appropriate methodology. Topics to be added include managerial processes, reliability, quality control, data analysis and data mining. New methodologies include wavelets, Markov-chain Monte Carlo methods and spatial statistics.