APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
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Journal Title
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
APPL STOCH MODEL BUS
ISSN / eISSN
1524-1904 / 1526-4025
Aims and Scope
ASMBI - 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. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). 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. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process.
The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models.
The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models.
Subject Area
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
OPERATIONS RESEARCH & MANAGEMENT SCIENCE
STATISTICS & PROBABILITY
CiteScore
2.50
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Business, Management and Accounting - General Business, Management and Accounting | Q2 | #105/214 |
| Business, Management and Accounting - Management Science and Operations Research | Q3 | #107/198 |
| Business, Management and Accounting - Modeling and Simulation | Q3 | #179/316 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| Category (Journal Citation Reports 2023) | Quartile |
|---|---|
| MATHEMATICS, INTERDISCIPLINARY APPLICATIONS - SCIE | Q3 |
| OPERATIONS RESEARCH & MANAGEMENT SCIENCE - SCIE | Q4 |
| STATISTICS & PROBABILITY - SCIE | Q3 |
H-index
31
Country/Area of Publication
ENGLAND
Publisher
John Wiley and Sons Ltd
Publication Frequency
Quarterly
Annual Article Volume
56
Open Access
NO
Contact
JOHN WILEY & SONS LTD, THE ATRIUM, SOUTHERN GATE, CHICHESTER, ENGLAND, W SUSSEX, PO19 8SQ
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