悉昙文字与反切起源

悉昙字母是古代印度的一种文字。考察悉昙字母音节结构、拼合原理并跟汉字反切法相比较,可以看出反切产生不受梵文拼音原理影响。     

错误记忆的研究新进展

错误记忆是记忆研究的一个较为重要的领域,近几十年的研究历史中,经过研究者的不断努力,取得了丰硕的成果。现阶段对于错误记忆主要的研究范式有联想研究范式和无意识知觉研究范式以及误导信息干扰和k-k研究范式。错误记忆的影响因素研究主要集中在加工水平、无意识作用、情绪作用、加工通道等方面。     

基于因子分析的产学研合作教育影响因素研究

本文通过构建产学研合作教育影响因素的指标体系,运用因子分析法导出其中的主要影响因素,通过多元回归分析,进一步厘清各因子的影响程度,提出促进产学研合作教育人才培养机制的对策建议。     

The generalized log-gamma mixture model with covariates: local influence and residual analysis

In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure or relapse, may be indicated by a relatively high number of individuals with large censored survival times. In this paper the generalized log-gamma model is modified for the possibility that long-term survivors may be present in the data. The model attempts to separately estimate the effects of covariates on the surviving fraction, that is, the proportion of the population for which the event never occurs. The logistic function is used for the regression model of the surviving fraction. Inference for the model parameters is considered via maximum likelihood. Some influence methods, such as the local influence and total local influence of an individual are derived, analyzed and discussed. Finally, a data set from the medical area is analyzed under the log-gamma generalized mixture model. A residual analysis is performed in order to select an appropriate model. The authors would like to thank the editor and referees for their helpful comments. This work was supported by CNPq, Brazil.     

A gradient-based deletion diagnostic measure for generalized linear mixed models

A gradient-statistic-based diagnostic measure is developed in the context of the generalized linear mixed models. Its performance is assessed by some real examples and simulation studies, in terms of ability in detecting influential data structures and of concordance with the most used influence measures.     

The influence function of the optimal bandwidth for kernel density estimation

Theories about the bandwidth of kernel density estimation have been well established by many statisticians. However, the influence function of the bandwidth has not been well investigated. The influence function of the optimal bandwidth that minimizes the mean integrated square error is derived and the asymptotic property of the bandwidth selectors based on the influence function is provided.     

Developing an undue influence screening tool for Adult Protective Services

The study purpose was to develop and pilot an undue influence screening tool for California’s Adult Protective Services (APS) personnel based on the definition of undue influence enacted into California law January 1, 2014. Methods included four focus groups with APS providers (n = 33), piloting the preliminary tool by APS personnel (n = 15), and interviews with four elder abuse experts and two APS administrators. Social service literature—including existing undue influence models—was reviewed, as were existing screening and assessment tools. Using the information from these various sources, the California Undue Influence Screening Tool (CUIST) was developed. It can be applied to APS cases and potentially adapted for use by other professionals and for use in other states. Implementation of the tool into APS practice, policy, procedures, and training of personnel will depend on the initiative of APS management. Future work will need to address the reliability and validity of CUIST.     

基于灰关联模型的汽车市场需求影响因素分析

国家工业化程度的快速发展推动了汽车工业繁荣,对汽车市场的需求情况也就在不断的提升,为了能够更加准确地预测市场的需求量首先就必须分析影响汽车市场需求的主要因素。在总结国内外前人研究的基础上,提出了从定性和定量两个方面去分析影响汽车市场需求的因素,并运用灰色关联度模型分析了各种影响因素对汽车市场需求变动的影响程度,最后对各因素的重要度进行了排序,并根据排序结果提出了相应的对策建议。     

唐加勒克与俄罗斯文学

由于生活的地域、特定的文化语境以及相似的文化心理等因素，唐加勒克的诗歌创作与俄罗斯文学有深厚的渊源。唐加勒克积极吸收俄罗斯文化中有益于自身文学发展的因素，在“为人生”文学观念的指导下，关注哈萨克民族的前途，草原文化传统深刻地影响着他的价值观念、审美意识和认知方式。     

Robust methods in econometrics

This survey of recent developments in robust estimation and inference is directed primarily toward econometricians. It is argued that many of the techniques in common use in econometrics are highly sensitive to unverified hypotheses. Recent progress in designing alternative robust procedures is described and some prospects for future developments are discussed.