企业家思辨

本文对不同学派的企业家观进行了分析 ,从管理学角度出发指出对企业家的分析应从企业 (企业维度 )、企业发展 (时间维度 )、企业家能力与企业发展的要求相匹配三个维度进行 ,只有那些具备与企业发展阶段相适应领导能力与管理能力的人才堪称企业家。     

Gay Affirmative Practice: A Model for Social Work Practice with Gay,Lesbian, and Bisexual Youth

Gay affirmative practice has recently been introduced into the social work literature as a culturally sensitive model for working with gay, lesbian, and bisexual (GLB) adults, however, this model has rarely been applied to practice with GLB youth. In this article, the authors review the literature to present the main tenets of gay affirmative practice, outline the challenges that GLB youth face, and delineate the environmental and individual strengths that can be enhanced to promote well-being. The authors then apply the gay affirmative practice model to GLB youth, offering concrete information about the specific knowledge, attitudes, and skills that social workers should acquire to better serve the unique, yet diverse, needs of GLB youth.     

1980年代以来周作人思想研究统计分析

在中国期刊全文数据库中对周作人的思想研究论文进行了统计分析。首先,在统计信息中经鉴别剔除了一些伪信息,确认有效信息的范围。其次,在论文发表时间分布、作者、刊物、内容主题等四个方面对1980年代后周作人思想研究的整体状况进行了统计,对研究所面临的诸种难度所导致的研究中的泛化、零散化倾向做出了分析,认为开辟研究新角度以及对周作人的某些重要论文进行"细读"是进一步深入研究的突破。最后,简要反思了该统计分析方法的一些弊端,并藉此简单的做了点补充。     

Data skeletons: simultaneous estimation of multiple quantiles for massive streaming datasets with applications to density estimation

We consider the problem of density estimation when the data is in the form of a continuous stream with no fixed length. In this setting, implementations of the usual methods of density estimation such as kernel density estimation are problematic. We propose a method of density estimation for massive datasets that is based upon taking the derivative of a smooth curve that has been fit through a set of quantile estimates. To achieve this, a low-storage, single-pass, sequential method is proposed for simultaneous estimation of multiple quantiles for massive datasets that form the basis of this method of density estimation. For comparison, we also consider a sequential kernel density estimator. The proposed methods are shown through simulation study to perform well and to have several distinct advantages over existing methods.     

Goodness‐of‐fit methods for matched case‐control studies

The authors propose graphical and numerical methods for checking the adequacy of the logistic regression model for matched case‐control data. Their approach is based on the cumulative sum of residuals over the covariate or linear predictor. Under the assumed model, the cumulative residual process converges weakly to a centered Gaussian limit whose distribution can be approximated via computer simulation. The observed cumulative residual pattern can then be compared both visually and analytically to a certain number of simulated realizations of the approximate limiting process under the null hypothesis. The proposed techniques allow one to check the functional form of each covariate, the logistic link function as well as the overall model adequacy. The authors assess the performance of the proposed methods through simulation studies and illustrate them using data from a cardiovascular study.