A Simulation Study of Some Biasing Parameters for the Ridge Type Estimation of Poisson Regression

This article proposes several estimators for estimating the ridge parameter k based on Poisson ridge regression (RR) model. These estimators have been evaluated by means of Monte Carlo simulations. As performance criteria, we have calculated the mean squared error (MSE), the mean value, and the standard deviation of k. The first criterion is commonly used, while the other two have never been used when analyzing Poisson RR. However, these performance criteria are very informative because, if several estimators have an equal estimated MSE, then those with low average value and standard deviation of k should be preferred. Based on the simulated results, we may recommend some biasing parameters that may be useful for the practitioners in the field of health, social, and physical sciences.     

江西劳动就业问题研究

江西劳动就业面临的主要问题是劳动力供需矛盾尖锐、劳动力素质偏低。这些问题严重制约着江西经济的健康发展。必须从增加劳动力需求和控制劳动力的供给着手 ,双管齐下 ;同时 ,要把提高劳动力素质贯穿到整个劳动力供需矛盾的解决中去     

雪夜森林边的思考——罗伯特·弗罗斯特诗歌思想管窥

罗伯特·弗罗斯特作为二十世纪美国最伟大的诗人之一,其思想和观点在其诗歌艺术创作之中表现出来.本文仅以其诗歌来窥视其观点和思想,为进一步的了解和研究弗罗斯特提供些许研究素材和浅薄的理论认识.     

成人教育的有效性探讨

成人学习与青年学生不同 ,他们侧重于从经验中学习 ,目的性明确 ,理解能力和分析解决问题的能力较强。但他们的学习也常受制于各种主客观因素 ,存在局限性。要提高成人教育的有效性 ,一要走自学、互学的路子 ,努力建立学习型组织 ,实现知识和经验共享 ;二是改革培训的方式方法 ,提高在教师指导下的培训效果     

隋代通守考论

通守是隋末设置的一个具有特定功能的官职 ,为其他朝代所无 ,主要镇压隋末农民起义。通守的设置 ,既是大业末年政局形势所迫 ,也是隋代加强中央集权、削弱郡守功能的结果。通守尽管为郡级佐官 ,但其实际功能已经取代甚或超越了太守。     

国内专利情报研究综述

本文从专利情报的作用、分析、工作等六个研究热点对国内的专利情报研究进行了较为全面地总结和概括,并对研究的不足之处提出了自己的看法。     

《论语·学而篇》第十六章新解

《论语·学而篇》第十六章"不患人之不己知,患不知人也",传统的解释是"不着急别人不了解自己,却着急自己不了解别人",这未能切中孔子原意.从论语的不同注本看,更重要的是从孔子和《论语》的一贯精神看,该章应解释为"不要担心别人不了解自己,而应担心自己没有东西让别人了解".     

Joint tests of non-nested models and general error specifications

This paper is concerned with joint tests of non-nested models and simultaneous departures from homoskedasticity, serial independence and normality of the disturbance terms. Locally equivalent alternative models are used to construct joint tests since they provide a convenient way to incorporate more than one type of departure from the classical conditions. The joint tests represent a simple asymptotic solution to the “pre-testing” problem in the context of non-nested linear regression models. Our simulation results indicate that the proposed tests have good finite sample properties.     

Testing the Equality of Two Exponential Distributions

This paper proposes an overlapping-based test statistic for testing the equality of two exponential distributions with different scale and location parameters. The test statistic is defined as the maximum likelihood estimate of the Weitzman's overlapping coefficient, which estimates the agreement of two densities. The proposed test statistic is derived in closed form. Simulated critical points are generated for the proposed test statistic for various sample sizes and significance levels via Monte Carlo Simulations. Statistical powers of the proposed test are computed via simulation studies and compared to those of the existing Log likelihood ratio test.     

Learning in experiments: Dynamic interaction of policy variables designed to deter tax evasion

While neoclassical economic theory sheds insight into the way that audit rates and penalty rates interact when individuals decide to declare income for taxation, it predicts far lower levels of compliance than observed levels of compliance. This paper analyses experimental responses to explore a dynamic interaction between audit and penalty rates as individuals learn how to comply with taxation. It compares the responses of subjects in experiments with responses that are predicted when individuals rely on an adaptive learning process (that offers information feedback about decision payoffs). This comparison suggests that learning is an important consideration when explaining differences between predicted and observed levels of tax compliance.