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期刊


ISSN1524-1904
刊名Applied Stochastic Models in Business and Industry
参考译名商业与工业应用随机模型
收藏年代2002～2023

关联期刊参考译名收藏年代
Applied Stochastic Models in Business and Industry商业与工业应用随机模型2024～2026


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2014 2015 2016 2017 2018 2019
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2019, vol.35, no.1 2019, vol.35, no.2 2019, vol.35, no.3 2019, vol.35, no.4 2019, vol.35, no.5 2019, vol.35, no.6

题名作者出版年年卷期
Issue Information 20192019, vol.35, no.5
A machine learning approach for individual claims reserving in insuranceBaudry Maximilien; Robert Christian Y.20192019, vol.35, no.5
Volatility forecasting using stochastic conditional range model with leverage effectWu Xinyu; Xie Haibin20192019, vol.35, no.5
Variable sampling interval Shewhart control charts for monitoring the multivariate coefficient of variationTran Kim Phuc; Heuchenne Henri L.; Nguyen Thi Hien; Nguyen Huu Du; Nguyen Quoc Thong20192019, vol.35, no.5
Mover‐stayer model with covariate effects on stayer's probability and mover's transitionsFrydman H.; Matuszyk A.; Li C.; Zhu W.20192019, vol.35, no.5
Hierarchical nonparametric survival modeling for demand forecasting with fragmented categorical covariatesLi Ta‐Hsin20192019, vol.35, no.5
Conditionally Gaussian random sequences for an integrated variance estimator with correlation between noise and returnsPeluso Stefano; Mira Antonietta; Muliere Pietro20192019, vol.35, no.5
An algorithm to solve a quantile optimization problem with loss function having a separable structure, and its application to an aerospace problemIvanov S.V.; Kibzun A.I.; Stepanova A.S.20192019, vol.35, no.5
Multifactor Heston's stochastic volatility model for European option pricingVeng Sotheara; Yoon Ji‐Hun; Choi Sun‐Yong20192019, vol.35, no.5
Using mixture‐amount modeling to optimize the advertising media mix and quantify cross‐media synergy for specific target groupsGoos Peter; Dens Nathalie; De Pelsmacker Patrick; Aleksandrovs Leonids20192019, vol.35, no.5



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