铁路票价制定策略和线路提速方案的优化分析

在分析了铁路旅客票价与列车运行速度的经济效益的基础上,给出了一个双层规划模 型来描述城市间多种交通运输方式竞争的条件下旅客票价与线路提速方案的合理优化问题, 模型在考虑了旅客选择行为的基础上使铁路运输部门的经济效益最大,并给出了该模型的求 解算法. 最后用一个简单的算例来说明该模型及算法的应用.     

Likelihood-Based Inference for the Shape Parameter of a Two Parameter Weibull Distribution

Based on a Type 2 censored sample, we use the likelihood-based approach to draw likelihood inference on the shape parameter gamma of a two-parameter Weibull distribution. In particular, we derive the profile, conditional and marginal likelihoods of gamma. Numerical results along with some concluding remarks regarding the use of likelihood-based methods for inference are provided.     

从配价理论看“N1是AV的N2”结构的歧义生成

从以往研究中可以发现,“N1是AV的N2”结构有些时候会存在歧义现象。以配价理论为基础,论证这类句子歧义的生成大多是由两种原因造成：一种是由于中心动词和与其共现的配价名词之间出现了复杂的语义关系;另一种是由于中心动词和隐省的配价名词之间出现了复杂的语义关系。     

Is workplace bullying related to the personality traits of victims? A two-year prospective study

The main aims of this two-wave prospective study were to (1) present different theoretical mechanisms for relationships between bullying and personality characteristics, (2) determine forward and reverse long-term associations between victimization from bullying and personality traits included in the five-factor model and (3) establish whether these personality traits contribute to the variance in bullying, beyond work environment factors in the form of role conflict and role ambiguity. The prospective sample comprised 3066 Norwegian employees. The time lag between the two measurement points was two years. Neuroticism significantly predicted subsequent bullying in analyses of direct associations between personality traits and victimization. When adjusting for role conflict and role ambiguity, conscientiousness emerged as the only significant predictor of later victimization from bullying. In tests of reverse associations, victimization from bullying at baseline was significantly related to agreeableness, conscientiousness and openness at follow-up. Taken together, the study findings indicate that personality traits may function as both predictors and outcomes of workplace bullying.     

基于TAM2-IDT的大学生生鲜电商消费意愿研究

近年来,生鲜电商逐渐兴起,为消费者带来了更加多样的生鲜消费模式.受制于较低的消费能力及较小的生活活动范围,大学生生鲜消费习惯与其他消费者相比,其生鲜电商普及率不高.大学生群体是未来的消费主力,校园市场有引领社会青年市场发展方向的作用.研究哪些因素影响大学生生鲜电商消费意愿,以及大学生群体消费意愿与其他群体有何不同,对生鲜电商行业发展具有重要意义.基于TAM2-IDT理论模型实证分析的结果显示,大学生生鲜电商消费意愿受感知有用性、感知信任和态度的直接影响,受感知易用性、个人创新性和社会影响的间接影响,且感知有用性和态度在其中起中介效应,其中感知信任、社会影响和个人创新性的影响作用在大学生与其他消费者之间差异明显.最后,根据研究结果对生鲜电商行业在大学校园市场中的发展提出建议.     

江苏旅游能耗和碳排放估算研究

本文以既是旅游经济大省又是碳排放较高的江苏省为研究对象,运用文献法和统计法从旅游交通、住宿业和旅游活动三方面估算了全省旅游业直接的能源消耗和二氧化碳排放总量。结果表明,江苏旅游业具有低能耗和低排放的特征,旅游交通、住宿业和旅游活动占旅游能耗和碳排放总量的比例依次减少。本文据此提出,低碳旅游是江苏发展低碳经济的优势产业,江苏旅游业节能减排需要改善旅游交通工具的使用与提高住宿业和旅游活动的低碳化水平。     

二氧化碳排放强度的实证研究

 二氧化碳(CO2)排放与减排问题已成为全球关注的焦点,而作为全球最大CO2排放量的中国,尤其值得研究。本文运用基于投入产出模型的结构因素分解法对中国1997-2007年CO2排放强度进行了因素分析。与已有研究相比,本文既测度了直接CO2排放,也测度了间接CO2排放;并考虑了各类不同种类能源的碳排放因子的差别,因此更具准确性和合理性。研究结果表明,生产模式的转变是CO2排放强度降低的主要原因,尤其是能源强度;而需求模式的作用较小。在此基础上,提出中国在未来发展中不仅要注重生产领域的减排,更应重视培养清洁需求的模式。     

Conditional quantile estimation with auxiliary information for left-truncated and dependent data

In this paper, the empirical likelihood method is used to define a new estimator of conditional quantile in the presence of auxiliary information for the left-truncation model. The asymptotic normality of the estimator is established when the data exhibit some kind of dependence. It is assumed that the lifetime observations with multivariate covariates form a stationary α‐mixing sequence. The result shows that the asymptotic variance of the proposed estimator is not larger than that of standard kernel estimator. Finite sample behavior of the estimator is investigated via simulations too.     

An efficient and fast algorithm for estimating the frequencies of 2-D superimposed exponential signals in presence of zero-mean multiplicative and additive noise

In this paper, a computationally efficient algorithm is proposed for estimating the parameters of two-dimensional (2-D) superimposed exponential signals in presence of independently and identically distributed (i.i.d.) zero-mean multiplicative and additive noise. It is observed that the estimator is consistent and works quite well in terms of biases and mean squared errors. Moreover, the algorithm is efficient when multiple 2-D frequencies pairs share a same 1-D frequency component and the estimators attain the same convergence rate with the least squares estimator (LSE) in presence of additive noise. Finally, it is observed that the algorithm can be used to estimate the frequencies of the evanescent component of texture accurately.