Applied Stochastic Models in Business and Industry

Cover image for Vol. 33 Issue 1

Editor-in-Chief: Fabrizio Ruggeri, CNR-IMATI, Milan, Italy; Editor: Emmanuel Yashchin, IBM, USA and Katherine Bennett Ensor, Rice University, USA

Impact Factor: 0.574

ISI Journal Citation Reports © Ranking: 2015: 74/82 (Operations Research & Management Science); 83/101 (Mathematics Interdisciplinary Applications); 93/123 (Statistics & Probability)

Online ISSN: 1526-4025

Overview


Formerly: Applied Stochastic Models and Data Analysis


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.


Keywords


statistics, inference, decision, big data, data science, uncertainty quantification, reliability, quality control, design of experiments, managerial processes, supply chains, inventories, risk management, insurance, econometrics, financial modelling, stochasticity, journal, online journal, Wiley Online Library


Abstracting and Indexing Information

  • Advanced Polymers Abstracts (ProQuest)
  • Ceramic Abstracts/World Ceramic Abstracts (ProQuest)
  • COMPENDEX (Elsevier)
  • CompuMath Citation Index (Clarivate Analytics)
  • Computer & Information Systems Abstracts (ProQuest)
  • CSA Civil Engineering Abstracts (ProQuest)
  • CSA Mechanical & Transportation Engineering Abstracts (ProQuest)
  • CSA Technology Research Database (ProQuest)
  • Current Index to Statistics (ASA/IMS)
  • Earthquake Engineering Abstracts (ProQuest)
  • Engineered Materials Abstracts (ProQuest)
  • International Aerospace Abstracts & Database (ProQuest)
  • Journal Citation Reports/Science Edition (Clarivate Analytics)
  • Materials Business File (ProQuest)
  • Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS)
  • METADEX (ProQuest)
  • Science Citation Index Expanded (Clarivate Analytics)
  • SCOPUS (Elsevier)
  • Web of Science (Clarivate Analytics)
  • ZBMATH (Zentralblatt MATH)

SEARCH

SEARCH BY CITATION