《Applied Stochastic Models In Business And Industry》重点专注发布数学-数学跨学科应用领域的新研究,旨在促进和传播该领域相关的新技术和新知识。鼓励该领域研究者详细地发表他们的高质量实验研究和理论结果。该杂志创刊至今,在数学-数学跨学科应用领域,有较高影响力,对来稿文章质量要求较高,稿件投稿过审难度较大。欢迎广大同领域研究者投稿该杂志。
CiteScore | SJR | SNIP | CiteScore排名 | |||
---|---|---|---|---|---|---|
2.7 | 0.452 | 0.81 | 学科类别 | 分区 | 排名 | 百分位 |
大类:大类:Business,ManagementandAccounting
小类:小类:GeneralBusiness,ManagementandAccounting
|
Q3 | 111/218 | 49% | |||
大类:大类:Business,ManagementandAccounting
小类:小类:ManagementScienceandOperationsResearch
|
Q3 | 115/207 | 44% | |||
大类:大类:Business,ManagementandAccounting
小类:小类:ModelingandSimulation
|
Q3 | 180/324 | 44% |
按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
---|---|---|---|---|
学科:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SCIE | Q3 | 87 / 135 | 35.9% |
学科:OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SCIE | Q4 | 83 / 106 | 22.2% |
学科:STATISTICS & PROBABILITY | SCIE | Q2 | 65 / 168 | 61.6% |
按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
---|---|---|---|---|
学科:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SCIE | Q3 | 85 / 135 | 37.41% |
学科:OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SCIE | Q3 | 65 / 106 | 39.15% |
学科:STATISTICS & PROBABILITY | SCIE | Q3 | 104 / 168 | 38.39% |
文章名称
引用次数
Birnbaum-Saunders distribution: A review of models, analysis, and applications
17
Robust stochastic control modeling of dam discharge to suppress overgrowth of downstream harmful algae
9
A machine learning approach for individual claims reserving in insurance
9
Log-symmetric regression models: information criteria and application to movie business and industry data with economic implications
9
Imperfect repair in degradation processes: A Kijima-type approach
6
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 industry
5
A beta partial least squares regression model: Diagnostics and application to mining industry data
5
Optimal harvesting policy of an inland fishery resource under incomplete information
5
Parameter change test for location-scale time series models with heteroscedasticity based on bootstrap
4
Model-free offline change-point detection in multidimensional time series of arbitrary nature via epsilon-complexity: Simulations and applications
4





