地下钱庄案频发的思考

以广东“杜氏地下钱庄”案和上海“罗怀韬地下钱庄”案为例,对当前地下钱庄案频发冲击金融市场及经济秩序、助长国内非法资金清洗出境、影响房地产和资本市场等危害性进行了分析,提出了多部门配合打击、实施“疏”的手段、健全完善相关法律规定等有关建议,以期对当前反洗钱工作有所裨益。     

林业生态工程与项目管理

林业生态工程是改善生态环境的有效之举 ,它对传统的、粗放的林业管理方式提出了挑战。本文主要论证了林业生态工程实行项目管理的必要性、存在问题及建议     

中国传统文化对我国竞技体育的不利影响

中国传统文化中的轻视体力、追求中和、淡泊名利等观念与竞技体育崇尚强健的体魄、追求名利等价值取向相悖,不利于我国竞技体育的发展。要发展我国的竞技体育,就要认识传统文化对竞技体育的不利影响,并采取措施消除影响,以便我国在国际竞技体育中取得更好成绩。     

非良基公理和非良基集合论的域

正则互模拟是非良基公理和非良基集合论形成的基础，基于正则互模拟形成了一簇非良基公理。定义了三种正则互模拟≌*、≌t和≡V0，由它们生成的非良基公理AFA≌*、AFA≌t和AFA≡V0与经典的非良基公理FAFA、SAFA和AFA分别等价；非良基公理FAFA和AFA位于非良基公理簇的两端，SAFA处于FAFA和AFA之间；非良基公理FAFA、SAFA和AFA两两不相容；与非良基公理FAFA、SAFA、AFA相对应的外延力依次增强，而相对应的非良基集合论的域依次缩小。     

Robust quasi-randomization-based estimation with ensemble learning for missing data

Missing data analysis requires assumptions about an outcome model or a response probability model to adjust for potential bias due to nonresponse. Doubly robust (DR) estimators are consistent if at least one of the models is correctly specified. Multiply robust (MR) estimators extend DR estimators by allowing for multiple models for both the outcome and/or response probability models and are consistent if at least one of the multiple models is correctly specified. We propose a robust quasi-randomization-based model approach to bring more protection against model misspecification than the existing DR and MR estimators, where any multiple semiparametric, nonparametric or machine learning models can be used for the outcome variable. The proposed estimator achieves unbiasedness by using a subsampling Rao–Blackwell method, given cell-homogenous response, regardless of any working models for the outcome. An unbiased variance estimation formula is proposed, which does not use any replicate jackknife or bootstrap methods. A simulation study shows that our proposed method outperforms the existing multiply robust estimators.     

基于对偶犹豫模糊几何Heronian平均算子的多属性决策方法及其应用

针对需要同时考虑变量隶属度、非隶属度以及关联性的融合问题，本文将对偶犹豫模糊集与Heronian平均算子相结合，定义了对偶犹豫模糊几何Heronian平均算子和对偶犹豫模糊几何加权Heronian平均算子，讨论了新算子的一些优良特性，包括幂等性、置换不变性、有界性、单调性等性质，并针对属性值为对偶犹豫模糊语言信息关联系的多属性决策问题，建立了基于对偶犹豫模糊几何加权Heronian平均算子的多属性决策模型，基于所定义的算子和建立的数学模型，提出了一种新的基于对偶犹豫模糊Heronian平均算子的多属性决策方法。最后，通过多属性决策算例验证了方法的有效性和可行性。     

Prior distributions expressing ignorance about convex increasing failure rates

This paper deals with the specification of probability distributions expressing ignorance concerning annual or otherwise discretized failure or mortality rates, when these rates can safely be assumed to be increasing and convex, but are completely unknown otherwise. Such distributions can be used as noninformative priors for Bayesian analysis of failure data. We demonstrate why a uniform distribution used in earlier work is unsatisfactory, especially from the point of view of insensitivity with respect to the time scale that is chosen for the problem at hand. We suggest alternative distributions based on Dirichlet distributed weights for the extreme points of relevant convex sets, and discuss which consequences a requirement for scale neutrality has for the choice of Dirichlet parameters.