《Applied Stochastic Models In Business And Industry》雜志的最新年發文量為57篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章，以保持其在數學跨學科應用領域的學術影響力。
該刊聚焦于數學-數學跨學科應用領域的前沿研究，致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 12周，或約稿 。
Applied Stochastic Models In Business And Industry 雜志發文統計
文章名稱引用次數
- Birnbaum-Saunders distribution: A review of models, analysis, and applications17
- Robust stochastic control modeling of dam discharge to suppress overgrowth of downstream harmful algae9
- A machine learning approach for individual claims reserving in insurance9
- Log-symmetric regression models: information criteria and application to movie business and industry data with economic implications9
- Imperfect repair in degradation processes: A Kijima-type approach6
- Discussion of Birnbaum-Saunders distribution: A review of models, analysis, and applications and a novel multivariate data analytics for an economics example in the textile industry5
- A beta partial least squares regression model: Diagnostics and application to mining industry data5
- Optimal harvesting policy of an inland fishery resource under incomplete information5
- Parameter change test for location-scale time series models with heteroscedasticity based on bootstrap4
- Model-free offline change-point detection in multidimensional time series of arbitrary nature via epsilon-complexity: Simulations and applications4
