从奥尔森学说看孔孟消极革命观的积极意义

孔孟的消极革命观具有积极的意义，这在奥尔森对集体行动的逻辑分析中得到了最新 的说明，但孔孟消极革命观的缺陷也是相当明显的。     

n圆盘系统的固有频率的特征多项式

对等惯、等轴性且具有固定端的n圆盘系统的特征多项式进行了分析。得出了其系数与二项式系数的一个有趣的关系;并对特征值的取值进行了有关讨论;最后也给出了得到的三个组合恒等式。     

汉英并列二项式固化程度差异的语言系统分析

词序制约因素在汉英并列二项式中的表现差异部分是由汉英并列二项式本身的固化程度引起。汉英并列连词系统的差异、汉语的“意合”和英语的“形合”、汉语的双音词汇化现象的普遍性、英语并列二项式习语化倾向等四种汉英语言系统中的差异是导致汉语并列二项式固化程度较低而英语并列二项式固化程度较高的主要原因。     

Coverage‐adjusted Confidence Intervals for a Binomial Proportion

We consider the classic problem of interval estimation of a proportion p based on binomial sampling. The ‘exact’ Clopper–Pearson confidence interval for p is known to be unnecessarily conservative. We propose coverage adjustments of the Clopper–Pearson interval that incorporate prior or posterior beliefs into the interval. Using heatmap‐type plots for comparing confidence intervals, we show that the coverage‐adjusted intervals have satisfying coverage and shorter expected lengths than competing intervals found in the literature.     

Baker- Lin-Huang Type Bivariate Distributions Based on Order Statistics

Baker (2008 Baker, R. (2008). An order-statistics-based method for constructing multivariate distributions with fixed marginals. J. Multivariate Anal. 99: 23122327.[Crossref], [Web of Science ®] , [Google Scholar]) introduced a new class of bivariate distributions based on distributions of order statistics from two independent samples of size n. Lin and Huang (2010 Lin, G.D., Huang, J.S. (2010). A note on the maximum correlation for Baker’s bivariate distributions with fixed marginals. J. Multivariate Anal. 101: 22272233.[Crossref], [Web of Science ®] , [Google Scholar]) discovered an important property of Baker’s distribution and showed that the Pearson’s correlation coefficient for this distribution converges to maximum attainable value, i.e., the correlation coefficient of the Fréchet upper bound, as n increases to infinity. Bairamov and Bayramoglu (2013 Bairamov, I., Bayramoglu, K. (2013). From Huang-Kotz distribution to Baker’s distribution. J. Multivariate Anal. 113: 106115.[Crossref], [Web of Science ®] , [Google Scholar]) investigated a new class of bivariate distributions constructed by using Baker’s model and distributions of order statistics from dependent random variables, allowing higher correlation than that of Baker’s distribution. In this article, a new class of Baker’s type bivariate distributions with high correlation are constructed based on distributions of order statistics by using an arbitrary continuous copula instead of the product copula.     

Confidence interval estimation for negative binomial group distribution

Negative binomial group distribution was proposed in the literature which was motivated by inverse sampling when considering group inspection: products are inspected group by group, and the number of non-conforming items of a group is recorded only until the inspection of the whole group is finished. The non-conforming probability p of the population is thus the parameter of interest. In this paper, the confidence interval construction for this parameter is investigated. The common normal approximation and exact method are applied. To overcome the drawbacks of these commonly used methods, a composite method that is based on the confidence intervals of the negative binomial distribution is proposed, which benefits from the relationship between negative binomial distribution and negative binomial group distribution. Simulation studies are carried out to examine the performances of our methods. A real data example is also presented to illustrate the application of our method.     

Really troubled girls: Gender differences in risky sexual behavior and its correlates in a sample of juvenile offenders

Despite numerous studies on the myriad of psychosocial factors that affect youthful offenders, research on gender differences with respect to risky sexual behavior are limited. Using data on juvenile offenders in a residential facility, we analyzed impact of gender on sexual behavior (N = 227). Girls reported higher likelihood of diagnosis with sexually transmitted diseases, and injecting drug use including heroin and cocaine than boys. Multivariate analysis indicated that number of sexual partners, childhood trauma, and services received from emergency shelter and psychiatric settings were associated with risky sexual behavior. Discouraging, abusive and dysfunctional home environment with little support from parents/caregivers, or teachers, priests/religious leaders appear to dispose youth to a life of risky sex, drugs and delinquency.     

When conflict fuels negativity. A large-scale comparative investigation of the contextual drivers of negative campaigning in elections worldwide

We investigate the contextual conditions under which campaigns in elections worldwide are fought “negatively”, that is, rely on attacks against political opponents. We test the overarching intuition that societal, political, and cultural conflicts in the country are associated with greater negativity in election campaigns; conflicts, we argue, sow political discord. We test this intuition via a large-scale comparative dataset that covers 136 national elections across more than 100 countries worldwide that happened between June 2016 and March 2020, based on the expert judgments of more than 2000 scholars - to the best of our knowledge, the single largest comparative dataset about the content of elections worldwide. Our results show that countries in which elections are fought under a majoritarian or plurality rule tend to witness higher campaign negativity, and so are countries characterized by higher income inequality, deeper ethnic fragmentation, and higher individualism. Similarly, election competitiveness and ideological diversity of competing actors both tend to be associated with a greater use of negative campaigning, and so is news media preference for sensationalism.     

On the Bayes estimators of the parameters of size-biased generalized power series distributions

ABSTRACT

In this paper, we derive the Bayes estimators of functions of parameters of the size-biased generalized power series distribution under squared error loss function and weighted square error loss function. The results of size-biased GPSD are then used to obtain particular cases of the size-biased negative binomial, size-biased logarithmic series, and size-biased Poisson distributions. These estimators are better than the classical minimum variance unbiased estimators in the sense that they increase the range of the estimation. Finally, an example is provided to illustrate the results and a goodness of fit test is done using the maximum likelihood and Bayes estimators.