福克纳与莫言小说中的女性形象比较——以短篇小说为例

福克纳和莫言都是诺贝尔文学奖获得者,该文从跨文化研究视角出发,考察福克纳对莫言小说创作的影响。通过比较福克纳和莫言短篇小说中的女性形象,发现莫言只是在形式上借鉴了福克纳的作法,两者在母题原型叙事、象征叙事等深层结构方面存在诸多差异,呈现出各自文学形态的独特特征。在探究两者上述的区别时,宗教是解读的关键因素之一。     

论短信文学的基本特征

作为一种崭新的文学样式 ,短信文学既有传统文学的基本特点 ,也包含时尚、发展的元素 ,兼有纯文学与大众文学的双重特征。     

现实的不同魔幻呈现——以马尔克斯的《百年孤独》与莫言的《生死疲劳》为例

Hallucinatory realism一词因出现在2012年诺贝尔文学奖获得者中国作家莫言的颁奖词中,用来界定他的写作风格.传入国内,该术语被译为“魔幻现实主义”,从而将莫言的创作风格归属于拉美魔幻现实主义,由此掀起“误译”的讨论.以此为出发点,依托莫言的《生死疲劳》和马尔克斯的《百年孤独》两部经典作品,来论述这两种风格中的魔与幻的不同呈现,以此确证莫言的创作风格是有别于拉美的魔幻现实主义的中国魔幻现实主义。     

Nonparametric beta kernel estimator for long and short memory time series

In this article we introduce a nonparametric estimator of the spectral density by smoothing the periodogram using beta kernel density. The estimator is proved to be bounded for short memory data and diverges at the origin for long memory data. The convergence in probability of the relative error and Monte Carlo simulations show that the proposed estimator automatically adapts to the long- and the short-range dependency of the process. A cross-validation procedure is studied in order to select the nuisance parameter of the estimator. Illustrations on historical as well as most recent returns and absolute returns of the S&P500 index show the performance of the beta kernel estimator. The Canadian Journal of Statistics 48: 582–595; 2020 © 2020 Statistical Society of Canada     

变动均值和方差资产配置模型的应用研究

本文在均值-方差模型的基础上,以改善估计误差为主线,选取了10种变动均值-方差的资产配置模型,以等权重策略为基准,运用了确定性等价收益和Alpha值为判断准则,同时考虑了允许卖空限制和非允许卖空的情况,实证研究结果表明：虽然在资本市场中配置模型并不能显著战胜等权重策略,但随着投资范围的扩大,模型开始显现配置效果,尤其在Alpha准则下,变动均值-方差资产配置显著。同时本文还将实证结果和目前我国投资者的实际资产配置情况进行了比较,发现了现实配置结构中的不合理之处,并提出了相应的改善建议。最后对4类常用资产进行了模拟研究,其结果也进一步证实了本文的结论。     

限制性卖空的均值-半绝对偏差投资组合模型及其旋转算法研究

本文提出了限制性卖空的均值-半绝对偏差投资组合模型,通过变量替换将该模型转变为一般线性规划问题,从而运用线性规划的旋转算法进行求解。最后,文章以一个具体的算例验证了该算法的有效性,并证明将限制性卖空引入到投资组合中,有助于增强市场效率,降低市场风险。     

融合内容分析和关联分析的短生命周期体验品需求特征模式挖掘方法研究

挖掘特定产品的需求模式无法从整体掌握该类产品的市场特征;短生命周期体验品因缺乏历史销售数据,并且销售总量波动性极大,尤其需要从整体掌握销售总量与产品属性间关系的需求特征规律,但又难以挖掘,亟待提出适用于该类产品的需求特征模式挖掘方法。基于按销售总量分区后各区的需求特征的规律性,提出了一种按销售总量分区、以已有产品介绍集和销售总量为源信息、适用于新产品开发前使用、融合内容分析和关联分析的短生命周期体验品需求特征模式挖掘方法。该方法包括基于内容分析法的产品属性挖掘方法和基于关联分析的产品属性关系模式挖掘方法。前者可以得到较全面的产品属性;后者能够构建不同销售总量区间内产品集的属性关系模式,得到各区间的产品属性关系网,获得高销售总量区间具备,但中、低区间不具备的属性关系模式,从而获得需求特征模式。通过不断更新产品介绍集和销售总量并迭代挖掘,该方法能够动态挖掘需求特征模式。最后利用2013至2016年国产犯罪和爱情类电影数据验证了该方法的可行性,并得到了这两类电影的产品属性及近年的需求特征模式,可用于指导这两类电影的创作。     

A reduced form of the Workplace Bullying Scale – the EAPA-T-R: A useful instrument for daily diary and experience sampling studies

The need for more longitudinal studies (i.e. daily diary and experience sampling studies) focused on counterproductive work behaviours such as bullying requires shorter scales that at the same time do not compromise their content validity. Our main objective is to develop and validate a reduced version of the Workplace Bullying Scale (Escala de Abuso Psicológico Aplicado en el Lugar de Trabajo): the EAPA-T-R. Two studies (Study 1: 1506 and Study 2: 932 employees, respectively) were conducted to evaluate its psychometric properties and to ensure the external validity of the EAPA-T-R. Correlation and regression analyses were performed to reduce the current 12-item scale to a more parsimonious 4-item scale. Moreover, the psychometric properties of potential models were compared. Subsequently, the new scale was assessed using confirmatory factor analysis. Likewise, statistically significant relationships were found between the EAPA-T-R and other dimensions evaluated, such as job characteristics, transformational leadership, engagement, job satisfaction, and subjective performance. Moreover, bullying mediated the relationship between transformational leadership and burnout. To sum up, the EAPA-T-R showed good reliability and validity across studies, supporting its use in future research. The benefits of this short scale for daily diary and experience sampling studies and when using large surveys are discussed.     

知识经济与工业经济下会计要素的比较

知识经济改变了现行财务会计模式依存的会计环境,也改变了其建立前提和假设,新的会计模式在会计要素及财务报告等方面都要突破有产者会计和短期观点,以真实反映新环境下的企业状况和经营业绩.     

Simple detection of outlying short time series

Sets of relatively short time series arise in many situations. One aspect of their analysis may be the detection of outlying series. We examine the performance of standard normal outlier tests applied to the means, or to simple functions of the means, of AR(1) series, not necessarily of equal lengths. Although unequal lengths of series implies that the means have unequal variances, that are only known approximately, it is shown that nominal significance levels hold good under most circumstances. Thus a standard outlier test can usefully be applied, avoiding the complication of estimating the time series' parameters. The test's power is affected by unequal lengths, being higher when the slippage occurs in one of the longer series