找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: New Approaches to CSR, Sustainability and Accountability, Volume IV; M. Abu Naser Book 2023 The Editor(s) (if applicable) and The Author(s

[复制链接]
楼主: 卑贱
发表于 2025-3-26 21:41:22 | 显示全部楼层
New Approaches to CSR, Sustainability and Accountability, Volume IV978-981-16-9499-8Series ISSN 2509-7873 Series E-ISSN 2509-7881
发表于 2025-3-27 01:21:07 | 显示全部楼层
Restorative Justice: Application to Corporate Fraudpromote healing and rehabilitation for the victim, offender, and all other stakeholders affected by the crime. While restorative justice is widely used in addressing street crimes, little effort has been made to link its applicability to corporate crime.
发表于 2025-3-27 07:52:38 | 显示全部楼层
发表于 2025-3-27 09:48:48 | 显示全部楼层
发表于 2025-3-27 16:24:19 | 显示全部楼层
ded to readers who seek an in-depth and up-to-date overview of this new causal discovery approach to advance the technique as well as to those who are interested in applying this approach to real-world problems. This LiNGAM approach should become a standard item in the toolbox of statisticians, mach
发表于 2025-3-27 20:56:49 | 显示全部楼层
发表于 2025-3-28 00:45:52 | 显示全部楼层
发表于 2025-3-28 02:28:12 | 显示全部楼层
Christo Josephmble-type statistical learner. Compared to earlier estimators, the proposed estimator requires fewer model assumptions and can easily accommodate a large number of potential confounders. We illustrate the methods through simulation studies and application to data from the AIDS Clinical Trials Group
发表于 2025-3-28 08:52:39 | 显示全部楼层
Burim Prenaj,Fitore Kostanica,Luljeta Aliu Mulaj,Adelina ZeqiriSFRM has a flexible model structure and is naturally adaptive to complex intervention design for both experimental and non-experimental studies. The computation of the SFRM is more straightforward than the G-estimation algorithm that is widely used by SMM. Moreover, the SFRM is ready to be generaliz
发表于 2025-3-28 13:49:25 | 显示全部楼层
Jagbir Singh Kadyan,M. Abu Naser,Leena Jenefa may wish to address include: objective determination of the numbers of object classes present in the data, and the membership probabilities for each source; searches for unusual, rare, or even new types of objects and phenomena; discovery of physically interesting multivariate correlations which ma
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-3 15:48
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表