A new generalization of alpha-skew-normal distribution

In this paper, a new generalization of alpha-skew-normal distribution is considered. Some properties of this distribution, which is denoted by GASN(α, λ), including moments, maximum likelihood estimation of parameters, and some other properties are studied. Finally, using a real data set, we show that our new distribution is the best-fitted distribution for the used data among normal, skew normal, alpha-skew-normal, and skew-bimodal-normal distributions.     

The Assessment of Quality of Life in Transitional Neighborhoods

Quality of life (QoL) is being considered as one of the fundamental concepts in contemporary era. It tries to assess the level of general welfare of the communities. Urban transitional neighborhoods possess specific situation and as a result present distinctive QoL. The major objective of this study is to identify and measure the QoL dimensions in urban transitional neighborhoods using both objective and subjective indices pertaining to Darvazeshemiran neighborhood of Tehran. In order to accomplish this and gather needed data, 244 questionnaires were distributed among Darvazeshemiran’s residents. This study suggests that there exists low level of QoL in the study area. That is 64.3 % of the residents were dissatisfied with the prevailing level of QoL. This in turn is associated with the transitional nature of this neighborhood. The residents were strongly dissatisfied with regard to the environmental qualification as opposed to accessibility status. Furthermore, this study identified five objective factors respectively regarding QoL. There exists low correlation between subjective and objective dimensions. That demands simultaneous consideration of both objective and subjective dimensions. It is argued that individual treatments of each could not accurately represent the QoL of residents.     

An Additive–Multiplicative Restricted Mean Residual Life Model

The mean residual life measures the expected remaining life of a subject who has survived up to a particular time. When survival time distribution is highly skewed or heavy tailed, the restricted mean residual life must be considered. In this paper, we propose an additive–multiplicative restricted mean residual life model to study the association between the restricted mean residual life function and potential regression covariates in the presence of right censoring. This model extends the proportional mean residual life model using an additive model as its covariate dependent baseline. For the suggested model, some covariate effects are allowed to be time‐varying. To estimate the model parameters, martingale estimating equations are developed, and the large sample properties of the resulting estimators are established. In addition, to assess the adequacy of the model, we investigate a goodness of fit test that is asymptotically justified. The proposed methodology is evaluated via simulation studies and further applied to a kidney cancer data set collected from a clinical trial.     

Time series models based on the unrestricted skew-normal process

The standard location and scale unrestricted (or unified) skew-normal (SUN) family studied by Arellano-Valle and Genton [On fundamental skew distributions. J Multivar Anal. 2005;96:93–116] and Arellano-Valle and Azzalini [On the unification of families of skew-normal distributions. Scand J Stat. 2006;33:561–574], allows the modelling of data which is symmetrically or asymmetrically distributed. The family has a number of advantages suitable for the analysis of stochastic processes such as Auto-Regressive Moving-Average (ARMA) models, including being closed under linear combinations, being able to satisfy the consistency condition of Kolmogorov’s theorem and providing the guarantee of the existence of such a SUN stochastic process. The family is able to be represented in a hierarchical form which can be used for the ease of simulation. In addition, it facilitates an EM-type algorithm to estimate the model parameters. The performances and suitability of the proposed model are demonstrated on simulations and using two real data sets in applications.     

Im/mobile highly skilled migrants in Qatar*

Most studies on the mobility of highly skilled migrants have been examined with a framework of global talent mobility and under conditions of neoliberal governance and economic globalization. In this study we challenge the notion of the hypermobile knowledge worker. Utilizing mixed methods, we examine the factors that attracted highly skilled migrants to Qatar and the conditions under which they might leave in the future. Rather than finding a group of footloose migrants attracted primarily to high-wage jobs, a lack of taxation or amenities, and with multiple alternative locations of residence, we find that highly skilled migrants exist on a spectrum of immobility. More significantly, this immobility depends on the migrant’s region of origin. For Asian and Western migrants immobility is attributed to the Kafala system or employer sponsorship, which hinders occupational and spatial mobility and ties workers to their sponsors. Arab highly skilled migrants are especially affected by lack of security and stability in their home countries, which makes these workers involuntarily immobile. The former group seem to be willing to accept a reduced level of agency and mobility for high income, whereas for the latter security and stability are more fundamental to their decision to come to Qatar.     

尼采对历史及其历史教学的批判

尼采认为 ,历史是人的生命意志的反映 ,它是英雄人物在瞬间的艺术创作冲动的产物。人的历史开始于“个人具有创造性的自我解放欲望之际” ,这是尼采历史观的原始起点和意义支撑。他认为真正的历史应该有利于人的创造力的发挥和个体生命的解放 ,而现在的历史已经背离了历史的本来意义 ,成了生命发展的桎梏和障碍。现代历史教育是错误历史观与错误人生观相结合的产物 ,是一种摧残人性的教育 ,它使受教育者变得虚伪、迟缓、猜疑、抵触 ,并以软弱的人格、麻木的心态期待着刺激性“事件”的发生 ,哪怕它危及自己的生命。     

Monitoring and change-point estimation for spline-modeled non-linear profiles in phase II

In some applications of statistical quality control, quality of a process or a product is best characterized by a functional relationship between a response variable and one or more explanatory variables. This relationship is referred to as a profile. In certain cases, the quality of a process or a product is better described by a non-linear profile which does not follow a specific parametric model. In these circumstances, nonparametric approaches with greater flexibility in modeling the complicated profiles are adopted. In this research, the spline smoothing method is used to model a complicated non-linear profile and the Hotelling T² control chart based on the spline coefficients is used to monitor the process. After receiving an out-of-control signal, a maximum likelihood estimator is employed for change point estimation. The simulation studies, which include both global and local shifts, provide appropriate evaluation of the performance of the proposed estimation and monitoring procedure. The results indicate that the proposed method detects large global shifts while it is very sensitive in detecting local shifts.     

巫术的历史作用及其终结

巫术作为一种社会现象 ,在历史上曾起过一定的积极作用 ,如可以增强人类控制客观世界的意识 ,扩展人类控制客观世界的领域 ,增强人类战胜敌手的信心 ,此外还具有组织作用、道德教化作用、精神安慰作用、交流娱乐作用等。但一方面由于巫术的荒谬性 ,巫术一再失败 ,使人们对它失去了信心 ;另一方面 ,巫术的抽象功能被后来发展起来的宗教所代替 ,实用功能被科学所代替 ,因而 ,巫术在主流文化中的历史作用已经终结 ,但仍在文化的细枝末节中广泛存在着     

A Discourse on the Incorporation of Organizational Factors into Probabilistic Risk Assessment: Key Questions and Categorical Review

This article presents a discourse on the incorporation of organizational factors into probabilistic risk assessment (PRA)/probabilistic safety assessment (PSA), a topic of debate since the 1980s that has spurred discussions among industry, regulatory agencies, and the research community. The main contributions of this article include (1) identifying the four key open questions associated with this topic; (2) framing ongoing debates by considering differing perspectives around each question; (3) offering a categorical review of existing studies on this topic to justify the selection of each question and to analyze the challenges related to each perspective; and (4) highlighting the directions of research required to reach a final resolution for each question. The four key questions are: (I) How significant is the contribution of organizational factors to accidents and incidents? (II) How critical, with respect to improving risk assessment, is the explicit incorporation of organizational factors into PRA? (III) What theoretical bases are needed for explicit incorporation of organizational factors into PRA? (IV) What methodological bases are needed for the explicit incorporation of organizational factors into PRA? Questions I and II mainly analyze PRA literature from the nuclear domain. For Questions III and IV, a broader review and categorization is conducted of those existing cross-disciplinary studies that have evaluated the effects of organizational factors on safety (not solely PRA-based) to shed more light on future research needs.