Using local linear kernel smoothers to test the lack of fit of nonlinear regression models

Herein, we propose a data-driven test that assesses the lack of fit of nonlinear regression models. The comparison of local linear kernel and parametric fits is the basis of this test, and specific boundary-corrected kernels are not needed at the boundary when local linear fitting is used. Under the parametric null model, the asymptotically optimal bandwidth can be used for bandwidth selection. This selection method leads to the data-driven test that has a limiting normal distribution under the null hypothesis and is consistent against any fixed alternative. The finite-sample property of the proposed data-driven test is illustrated, and the power of the test is compared with that of some existing tests via simulation studies. We illustrate the practicality of the proposed test by using two data sets.     

Testing for linearity in generalized linear models using kernel smoothing

A test statistic proposed by Li (1999) for testing the adequacy of heteroscedastic nonlinear regression models using nonparametric kernel smoothers is applied to testing for linearity in generalized linear models. Simulation results for models with centered gamma and inverse Gaussian errors are presented to illustrate the performance of the resulting test compared with log-likelihood ratio tests for specific parametric alternatives. The test is applied to a data set of coronary heart disease status (Hosmer and Lemeshow, (1990).     

Quasi-binomial zero-inflated regression model suitable for variables with bounded support

In recent years, a variety of regression models, including zero-inflated and hurdle versions, have been proposed to explain the case of a dependent variable with respect to exogenous covariates. Apart from the classical Poisson, negative binomial and generalised Poisson distributions, many proposals have appeared in the statistical literature, perhaps in response to the new possibilities offered by advanced software that now enables researchers to implement numerous special functions in a relatively simple way. However, we believe that a significant research gap remains, since very little attention has been paid to the quasi-binomial distribution, which was first proposed over fifty years ago. We believe this distribution might constitute a valid alternative to existing regression models, in situations in which the variable has bounded support. Therefore, in this paper we present a zero-inflated regression model based on the quasi-binomial distribution, taking into account the moments and maximum likelihood estimators, and perform a score test to compare the zero-inflated quasi-binomial distribution with the zero-inflated binomial distribution, and the zero-inflated model with the homogeneous model (the model in which covariates are not considered). This analysis is illustrated with two data sets that are well known in the statistical literature and which contain a large number of zeros.     

幼儿园教师招聘中人与组织契合度的现状研究

招聘的最高境界是达到人与组织契合,即用人单位与应聘者在某些特征上具有相似性或一致性,双方能够满足彼此某些方面的需求。本研究运用问卷法对454名幼儿园教师的人与组织契合度现状进行了调查,结果发现：幼儿园与教师契合度总体较高;不同维度的人与组织契合度中价值观契合度最高;目标契合度和能力——要求契合度次之;需求——供给契合度最低。幼儿园与教师契合度在教师学历、教师工作年限、幼儿园星级以及幼儿园办园年限上存在显著性差异。文章从定位园所特征、创新甄选模式和完善后期管理三个方面提出基于人与组织契合理论的招聘优化策略。     

基于IDT/TTF整合模型的企业移动服务采纳实证研究

本文基于创新扩散理论(Innovation Diffusion Theory)和技术任务匹配理论(Task-technology Fit)提出了一个分析企业对于移动服务采纳行为的综合模型。通过中国四大电信公司的客户服务部门从80个不同行业的企业收集调查数据,利用SPSS统计软件对模型量表进行了信度效度分析,并采用Graph3.0分析软件对研究模型的假设进行了检验。研究结果表明,该模型对理解、预测和解释企业对于移动服务采纳行为具有一定的实际意义。     

Fit for Work? The Influence of Sick Pay and Job Flexibility on Sickness Absence and Implications for Presenteeism

Recent developments in UK policy on health and employment have sought to change perceptions about what constitutes ‘fitness for work’. With the aim of reducing the incidence and duration of sickness absence, a range of initiatives, including the introduction of the ‘fit note’, are challenging the belief that it is necessary to be 100 per cent well in order to be at work. However, this article suggests that contextual factors independent of health may also influence people's decisions about whether or not to attend work at times of reduced wellness. Drawing upon data from a qualitative study of mental health and employment, this article illustrates how the terms and conditions of a person's employment may influence sickness absence decisions in a number of ways. It is argued that sick pay provisions, size of employer and nature of work may influence both decisions to take time off and decisions about when to return to work. The degree of flexibility to manage one's workload around times of poorer health may also have a bearing on whether people feel able to carry on with their work without recourse to sickness absence. Therefore, it may be important for policy interventions to consider not only health circumstances but also structural/contextual influences on conceptualizations of being ‘fit for work’. The implications of such contextually‐influenced decision‐making for ‘presenteeism’ are also considered. It is suggested that current conceptualizations of presenteeism are somewhat ambiguous; employees coming to work despite ill health is simultaneously presented as a problem and an aspiration.     

全民健身服务体系发展策略探讨——基于广州全民健身服务体系的SWOT分析

应用现代管理学的“SWOT”分析法,对广州全民健身服务体系的内外环境进行了分析,提出了新时期广州全民健身服务体系应以成功举办亚运会为契机,加大宣传力度,进一步激发广大市民的体育参与意识;大力发展农村体育,提高农民的健康水平;加快全民健身体育场地设施的建设和管理;健全全民健身组织网络,加快全民健身事业的社会化进程等发展策略。     

Reference points for getting a target in a soccer competition. A probabilistic model with applications to the Spanish and English Premier League

We model the probabilities that a soccer team gets a target, for example, to play the Champions League, the UEFA Europa League or preserve the category. Taking into account the points won until de mth matchday of the competition, when the winter transfer window is closed. We give closed-form expressions for the probabilities of reaching the goals. We also introduce a risk measure which is going to give us the smallest initial points needed to ensure that the probability of getting the target is larger than a given level.     

The Efficacy of a Decision Support System in Enhancing Risk Assessment Performance

A pervasive challenge for decision‐makers is evaluating data of varying form (e.g., quantitative vs. qualitative) and credibility in arriving at an overall risk assessment judgment. The current study tests the efficacy of a Decision Support System (DSS) for facilitating auditors’ evaluation and assimilation of financial and nonfinancial information in accurately assessing the risk of material misstatements (RMM) in financial information. Utilizing the proximity compatibility principle, the DSS manipulates the display of cues either in an integral (where pieces of information are displayed on one computer screen) or separable (where pieces of information are displayed on different computer screens) format. Based on cognitive fit theory, we expect that the integral (separable) display best supports financial (nonfinancial) information processing, leading to enhanced risk assessment performance. In addition, we predict that consistent DSS display of financial and nonfinancial information facilitates risk assessment performance. Further, this study accentuates the importance of auditors’ preference for presentation of financial and nonfinancial information and consistent presentation of all the information in strengthening the effect of DSS display format on risk assessment performance. We design a case which includes a seeded high fraud risk. A total of 112 audit seniors participated in the experiment where the DSS display format was manipulated and the auditors’ RMM assessments and display preferences were measured. The results support the hypotheses and highlight the value of the DSS in enhancing risk assessment performance.     

C型主轴端部短锥法兰式联接分析

关于短锥法兰式C型主轴端部与花盘等机床附件的联接定位问题,目前尚未有统一的解释和确切的结论.本文对此联接状态进行定位分析和尺寸分析,得出正确结论.