以系统化思维高质量推进江苏全面深化改革

以系统化思维高质量推进江苏全面深化改革,有利于江苏在全面深化改革中一体贯彻新发展理念、聚力培育发展新动能、统筹推进高质量发展。改革开放40年来,江苏锐意改革、大胆创新、勇立潮头。具体表现为：经济发展体制障碍不断突破,经济综合实力稳步提升;区域协调发展机制逐步构建,区域空间布局日渐优化;社会治理体制创新积极推进,社会治理水平明显提高;生态文明体制改革日益深化,“美丽江苏”建设成效初显。同时,江苏目前在发展方式转变、经济结构优化、增长动力转换等方面仍然存在不少问题和障碍。今后一段时间,江苏应站在更高起点系统谋划和推进各项改革。要着眼走在高质量发展前列,深化经济体制改革;要着眼提高保障和改善民生水平,创新社会治理格局;要着眼经济和社会事业发展全局,完善人才发展制度;要着眼人与大自然是生命共同体,推进生态文明建设。     

宋代笔记小说中的妇女形象及其时代特征

宋代笔记小说中才女、智女、贤女、恶女形象比较突出。才女、智女、贤女形象展示出宋人温文尔雅、比较柔弱的时代特征。恶女形象则反映了人们对这一社会问题的重视。     

论诗歌的再生--兼论翻译过程中影响跨文化交流的动态因素

文章以功能翻译理论为基础,以中国古典诗歌、日本诗歌、英美现代意象主义诗歌和中国早期白话诗之间的传承影响为例,论证了原语诗歌是通过翻译过程中的一些动态因素,如原诗文本、译者、译语读者等的共同影响,来实现译语诗歌的再生,从而促进文化间的交流发展.     

长三角地区农民资金互助合作社运行满意度及影响因素分析 ——以泰州市苏陈资金互助合作社为例

农民资金互助合作社是目前准新型农村金融机构在长三角地区的典型代表。基于对江苏省泰州市苏陈资金互助合作社的实地调研,重点考察社员对样本农民资金互助合作社运行的满意度及影响因素。研究发现：样本社社员对于农民资金互助合作社的整体运行情况基本持肯定态度;社员的家庭总收入、政府对农民资金互助合作社的支持力度以及社员在农民资金互助合作社借用的互助金额度,是影响社员对于农民资金互助合作社满意度的主要因素;农民资金互助合作社融资业务的开展,对于社员的农业和二三产业经营均具有正向促进作用;农民资金互助合作社的互助金投放的覆盖面与农村信用合作社等传统农村正规金融机构形成了互补关系。在此基础上,提出了相关政策建议。     

90后大学生思想道德建设刍议

90后大学生在思想道德方面呈现出独特性：思想观念新锐、张扬、自主、时尚;自我实现意识强,价值取向功利化;危机感强,心理承受能力有限;有较自觉的社会公德意识,能积极弘扬传统美德。这些特征的形成是受社会变革、互联网、家庭教育模式和学校思想政治教育水平等多种因素的影响。加强90后大学生思想道德建设,应以学生为中心,不断创新高校思想道德教育的方法与内容;要发挥家庭教育和社会教育的作用,形成大学生思想道德教育的合力;要加强校园网络文化建设,主动占领网络思想政治教育新阵地。     

Diagnostics of multiple group influential observations for logistic regression models

In this paper, two new multiple influential observation detection methods, GCD.GSPR and mCD*, are introduced for logistic regression. The proposed diagnostic measures are compared with the generalized difference in fits (GDFFITS) and the generalized squared difference in beta (GSDFBETA), which are multiple influential diagnostics. The simulation study is conducted with one, two and five independent variable logistic regression models. The performance of the diagnostic measures is examined for a single contaminated independent variable for each model and in the case where all the independent variables are contaminated with certain contamination rates and intensity. In addition, the performance of the diagnostic measures is compared in terms of the correct identification rate and swamping rate via a frequently referred to data set in the literature.     

Toward an integrated Bayesian network approach to measurement error detection and correction

In this article, the quality of data produced by national statistical institutes and by governmental institutions is considered. In particular, the problem of measurement error is analyzed and an integrated Bayesian network decision support system based on non-parametric Bayesian networks is proposed for its detection and correction. Non-parametric Bayesian networks are graphical models expressing dependence structure via bivariate copulas associated to the edges of the graph. The network structure and the misreport probability are estimated using a validation sample. The Bayesian network model is proposed to decide: (i) which records have to be corrected; (ii) the kind and amount of correction to be adopted. The proposed correction procedure is applied to the Banca d’Italia Survey on Household Income and Wealth and, specifically, the bond amounts are analyzed. Finally, the sensitivity of the conditional distribution of the true value random variable given the observed one to different evidence configurations is studied.     

On Hotelling’s T2 test in a special paired sample case

In a special paired sample case, Hotelling’s T² test based on the differences of the paired random vectors is the likelihood ratio test for testing the hypothesis that the paired random vectors have the same mean; with respect to a special group of affine linear transformations it is the uniformly most powerful invariant test for the general alternative of a difference in mean. We present an elementary straightforward proof of this result. The likelihood ratio test for testing the hypothesis that the covariance structure is of the assumed special form is derived and discussed. Applications to real data are given.     

Estimation of the smallest scale parameter of two-parameter exponential distributions

Improved point and interval estimation of the smallest scale parameter of n independent populations following two-parameter exponential distributions are studied. The model is formulated in such a way that allows for treating the estimation of the smallest scale parameter as a problem of estimating an unrestricted scale parameter in the presence of a nuisance parameter. The classes of improved point and interval estimators are enriched with Stein-type, Brewster and Zidek-type, Maruyama-type and Strawderman-type improved estimators under both quadratic and entropy losses, whereas using as a criterion the coverage probability, with Stein-type, Brewster and Zidek-type, and Maruyama-type improved intervals. The sampling framework considered incorporates important life-testing schemes such as i.i.d. sampling, type-II censoring, progressive type-II censoring, adaptive progressive type-II censoring, and record values.     

Model selection for factor analysis: Some new criteria and performance comparisons

This paper derives Akaike information criterion (AIC), corrected AIC, the Bayesian information criterion (BIC) and Hannan and Quinn’s information criterion for approximate factor models assuming a large number of cross-sectional observations and studies the consistency properties of these information criteria. It also reports extensive simulation results comparing the performance of the extant and new procedures for the selection of the number of factors. The simulation results show the di?culty of determining which criterion performs best. In practice, it is advisable to consider several criteria at the same time, especially Hannan and Quinn’s information criterion, Bai and Ng’s IC_p2 and BIC₃, and Onatski’s and Ahn and Horenstein’s eigenvalue-based criteria. The model-selection criteria considered in this paper are also applied to Stock and Watson’s two macroeconomic data sets. The results differ considerably depending on the model-selection criterion in use, but evidence suggesting five factors for the first data and five to seven factors for the second data is obtainable.