构建和谐财务管理目标的思考

构建和谐社会是现今中国的重要社会问题。在财务管理学中,财务目标是财务决策的准绳、财务行为的依据、理财绩效的考核标准。本文从和谐概念出发,从财务管理的角度,运用产权理论和契约理论分析财务管理目标和谐的现实性选择和构建。     

完善我国个人所得税制的思考

个人所得税是调节国家与个人利益分配关系的重要杠杆,随着我国经济的快速发展、居民收入水平的大幅提高,个人所得税将是一项最有前途、最有发展潜力的税种。但我国个人所得税政策不尽人意,执行起来既失公平,又欠效率。文章分析了我国个人所得税制存在的问题,提出了相应的对策。     

理工农医院校社科学报转引率偏低原因分析

理工农医院校社科学报由于办刊时间短,作者群不稳定,实用性文章较多,发行量少,学术界影响小,以及社会和学术界的偏见,致使转引率偏低。为此,理工农医院校社科学报要加强自身建设,走特色办刊原则,强化编辑队伍,建立稳定的作者群,坚持正确的办刊原则,以尽快提高学报质量。     

The Limits of Black Politics in the Post–Civil Rights Era

Pluralist theorists have long contended that to exercise power and influence in the American political system, blacks should come together like any other organized interest group, form coalitions with other like-minded people (white liberals), and advocate for policy reforms. Beginning during the “Black Power” era, the goal of putting black faces in high places to help address black concerns became a driving force in black politics. The deteriorating social and economic status of many in the black community, however, has not been prevented by either the political incorporation of more than 11,000 black elected officials or even the election of the nation’s first black president. This article will show how the inherent limitations of the pluralist interest-group strategy and a growing white backlash fueled by an awareness of changing demographics in the country has spawned an economic and political crisis in black America.     

警察人权面临困境的行政法解析

袭警案件的多发凸显了警察人权面临的困境。警察人权处于警察与国家、警察与公民双重关系之中,结合行政法学上“特别权力关系”和“反射利益”两个基本概念研究警察的多重身份和警察权对警察人权的影响,有利于在理论和实践上对警察权益保护的研究能在一个更广阔的平台上进行。     

个人生物识别信息的公益诉讼制度优化研究

个人生物识别信息公益诉讼制度建立在信息的公共性基础之上,能有效改善信息个人的弱势处境,缓解公权力与私权利的内在张力。公益诉讼制度介入到个人生物识别信息保护中,其法律依据是《个人信息保护法》第70条。当前,在适用上还存在着适用条件不具体、起诉主体顺位难确定、举证责任未合理分配以及不同公益诉讼关系未厘清等问题,需要细化具体适用条件、明晰起诉主体顺位、公平分配证明责任以及整体把握不同公益诉讼的衔接与配合,从而保障个人生物识别信息公益诉讼制度在实践中有效落实,实现平衡信息主体间的利益,维护信息公共安全的目标。     

Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation

A smoothed bootstrap method is presented for the purpose of bandwidth selection in nonparametric hazard rate estimation for iid data. In this context, two new bootstrap bandwidth selectors are established based on the exact expression of the bootstrap version of the mean integrated squared error of some approximations of the kernel hazard rate estimator. This is very useful since Monte Carlo approximation is no longer needed for the implementation of the two bootstrap selectors. A simulation study is carried out in order to show the empirical performance of the new bootstrap bandwidths and to compare them with other existing selectors. The methods are illustrated by applying them to a diabetes data set.     

Progressive censoring with fixed censoring times

In this paper, we revisit the progressive Type-I censoring scheme as it has originally been introduced by Cohen [Progressively censored samples in life testing. Technometrics. 1963;5(3):327–339]. In fact, original progressive Type-I censoring proceeds as progressive Type-II censoring but with fixed censoring times instead of failure time based censoring times. Apparently, a time truncation has been added to this censoring scheme by interpreting the final censoring time as a termination time. Therefore, not much work has been done on Cohens's original progressive censoring scheme with fixed censoring times. Thus, we discuss distributional results for this scheme and establish exact distributional results in likelihood inference for exponentially distributed lifetimes. In particular, we obtain the exact distribution of the maximum likelihood estimator (MLE). Further, the stochastic monotonicity of the MLE is verified in order to construct exact confidence intervals for both the scale parameter and the reliability.     

Bayesian estimation of the efficient frontier

In this paper, we consider the estimation of the three determining parameters of the efficient frontier, the expected return, and the variance of the global minimum variance portfolio and the slope parameter, from a Bayesian perspective. Their posterior distribution is derived by assigning the diffuse and the conjugate priors to the mean vector and the covariance matrix of the asset returns and is presented in terms of a stochastic representation. Furthermore, Bayesian estimates together with the standard uncertainties for all three parameters are provided, and their asymptotic distributions are established. All obtained findings are applied to real data, consisting of the returns on assets included into the S&P 500. The empirical properties of the efficient frontier are then examined in detail.     

Parametrizing the Kepler exoplanet period-radius distribution with the bivariate normal inverse Gaussian distribution

This paper presents a simple and robust method for obtaining a comprehensive understanding of the joint period and radius distribution in Kepler exoplanets. The proposed method is based on particle swarm optimization and bivariate Normal Inverse Gaussian distribution. Furthermore, in the construction of the probability density function, this study selects planet-host stars with the GK-type. The injecting approach is also employed to solve the survey completeness of sample. The resulting occurrence rate of Earth analogs is 0.025 with a 95% bootstrap confidence interval between 0.023 and 0.032.