A comparison study of computational methods of Kolmogorov–Smirnov statistic in credit scoring

Kolmogorov–Smirnov statistic (KS) is a standard measure in credit scoring. Currently, there are three computational methods of KS: method with equal-width binning, method with equal-size binning and method without binning. This paper compares the three methods in three aspects: Values, Rank Ordering of Scores and Geometrical Way. The computational results on the German Credit Data show that only the method without binning can produce a unique value of KS. It is further proved analytically that the method without binning yields the maximum value of KS among the three methods. The computational results also show that only the method with equal-size binning can be used to evaluate rank ordering of scores. Moreover, it is proved that all the three methods can be used to calculate KS in a geometric way.     

A gradient-based deletion diagnostic measure for generalized linear mixed models

A gradient-statistic-based diagnostic measure is developed in the context of the generalized linear mixed models. Its performance is assessed by some real examples and simulation studies, in terms of ability in detecting influential data structures and of concordance with the most used influence measures.     

An integral formula for the distribution of self-normalized Gaussian random samples

Given i.i.d. Gaussian random variables and after standardizing the sample by subtracting the sample mean and dividing it by the sample deviation, we obtain an integral formula for the distribution of these self-normalized variables. Using geometrical arguments, we obtain the distribution of each and the joint distribution of two of them. These formulas can be used to calculate the expected value of the particular type of Cramér von Mises statistic to test normality.     

The role of empathy in training social work students in motivational interviewing

Motivational interviewing (MI), an evidence-based approach with empathy as a key principle, effectively addresses client concerns found in the child welfare population. Training social workers in MI, and to be empathic, would increase the likelihood of better service delivery. Live supervision (LS) is a form of training that provides real-time feedback by clinical supervisors. This randomized comparison trial compared the effectiveness of LS or Teaching as Usual (TAU) on empathy in 54 MSW and BSW social work students. TAU involved students receiving online modules and assigned readings. Data were collected at baseline, after the interventions, and at five months follow-up. Differences in perceived empathy and empathic behaviors were measured by the Motivational Interviewing Treatment Integrity (MITI) and Toronto Empathy Questionnaire (TEQ). The study also assessed whether demographic variables or perceived empathy (TEQ) predicted empathic behaviors (MITI). Results indicate that, while both groups improved on empathy as measured by the MITI and TEQ, the LS group demonstrated more improvement. Demographic variables had no impact on empathy. The TEQ and MITI also did not demonstrate predictability suggesting the complexity of measuring empathy. The implications for social work education and future training are discussed.     

浙江民营企业融资租赁调查

融资问题已成为民营企业发展的一个瓶颈。在国外,融资租赁是仅次于银行贷款的常用融资方式,对解决企业融资问题发挥了重要作用;但目前我国民营企业运用融资租赁方式进行筹资遇到了一定障碍。在此背景之下,本文基于问卷对浙江民营企业融资租赁现状进行调查,通过对资料和数据的整理,分析了民营企业运用融资租赁方式进行筹资的障碍及其原因;并据此提出了一些可行的对策与建议。     

产业结构对经济增长贡献的实证分析

在CES和Cobb-Dauglas生产函数的基础上,以湖南省数据为样本考察了三次产业结构的不同边际产出,同时在计量模型的基础上分析了产业结构转型对经济增长的促进作用,通过单位根检验,验证了结构转型与经济增长之间的关系。     

统计打假对策探析

统计工作是经济管理的重要基础工作 ,统计信息是制定政策和编制、检查计划的基本依据之一。本文对统计工作中造假的成因、危害进行了剖析 ,提出了相应的打假对策     

规范管理开拓创新与时俱进--提高研究生教育质量的几点浅见

我国研究生教育在快速发展中各环节出现了诸多问题,如研究生生源质量,培养研究生的条件和资源,培养模式、创新能力的培养等。文章在总结研究生教育工作的基础上,提出必须紧紧抓住管理制度科学化、培养模式多样化,规范管理,搭建学科建设大平台,充分发挥学校综合学科的交叉优势,加强导师队伍建设,才能培养出具有中国特色、适应新世纪经济和文化建设发展需要的创新型人才。     

基于Wigner高阶谱的ECG信号分析

采用二阶Choi-Wigner Ville变换来分析晚电位信号,解决了用时域或频域方法不能观测到晚电位的问题,并对消除交叉干扰项的问题进行了研究。该方法取得很好的效果,特别针对非高斯信号,它能给出更好的时频分辨率,给医生提供一种新的诊断工具。     

关于证券投资技术分析有效性的实证研究

证券投资技术分析是目前在我国沪深股票市场广为流传，且具重大影响力的投资工具，本文运用统计分析理论对其有效性进行实证分析，得到了一些有益的启示。