甘肃省入境客流时空演变特征分析

经过将近30多年的发展,甘肃省入境旅游旅游业取得了长足的发展,入境旅游业的发展拓宽了甘肃省旅游产业的发展空间。但由于受到各种因素的制约,甘肃省入境客流的变化发展有着自身独特的规律和特点,特别是从甘肃省入境旅游发展的外部环境看,其时间和空间演变的特征十分典型,特别是时空分布的不平衡性是其长期以来最显著的特征。     

A Bayesian estimate of the concordance correlation coefficient with skewed data

Concordance correlation coefficient (CCC) is one of the most popular scaled indices used to evaluate agreement. Most commonly, it is used under the assumption that data is normally distributed. This assumption, however, does not apply to skewed data sets. While methods for the estimation of the CCC of skewed data sets have been introduced and studied, the Bayesian approach and its comparison with the previous methods has been lacking. In this study, we propose a Bayesian method for the estimation of the CCC of skewed data sets and compare it with the best method previously investigated. The proposed method has certain advantages. It tends to outperform the best method studied before when the variation of the data is mainly from the random subject effect instead of error. Furthermore, it allows for greater flexibility in application by enabling incorporation of missing data, confounding covariates, and replications, which was not considered previously. The superiority of this new approach is demonstrated using simulation as well as real‐life biomarker data sets used in an electroencephalography clinical study. The implementation of the Bayesian method is accessible through the Comprehensive R Archive Network. Copyright © 2015 John Wiley & Sons, Ltd.     

高等教育不均衡思想与经济发展的相关分析--基于华东地区高等教育数据

从空间分布和经济发展角度,采用统计学、基尼系数和相关分析等方法对华东地区的高等教育进行了研究。提高教育意识,科学地反思教育发展,可以更好地服务经济。统计分析显示高等教育资源的空间分布差异明显,江浙沪发展较好,安徽和江西相对落后。基尼系数分析发现每个省的主要教育资源集中在少数几个城市,导致高等教育的空间分布十分不均衡。讨论了引起教育资源空间不均衡的原因。发现了各省市不同学科招生的不均衡度与经济发展存在相关关系。挖掘了不同学科学生比例与经济发展的关系,发现工学和管理学是与当地经济发展成正相关的学科。最后提出了如何保证高等教育促进当地经济发展的对策。     

核事故早期应急群决策模型研究

有效快速的核事故早期应急决策,是核电站发生核事故后最后一道必要的屏障,因此决策的快速性与有效性至关重要。文章先构造效用函数,求出决策者的乐观系数,将决策判断矩阵中的区间值与模糊值精确化;在此基础上建立了个体与群体的决策模型,以提高决策的有效性。同时根据排序结果,构造群体与个体之间一致性判断矩阵,并根据判断矩阵进行交互与修改,使专家内部快速达成一致。最后通过算例说明方法的可行性。     

A Bivariate Distribution Family with Specified Correlation Coefficient and Given Marginals

For given continuous distribution functions F(x) and G(y) and a Pearson correlation coefficient ρ, an algorithm is provided to construct a sequence of continuous bivariate distributions with marginals equal to F(x) and G(y) and the corresponding correlation coefficient converges to ρ. The algorithm can be easily implemented using S-Plus or R. Applications are given to generate bivariate random variables with marginals including Gamma, Beta, Weibull, and uniform distributions.     

对信息资源测度"信息资源丰裕系数"的解析与优化探讨

要衡量一个国家或地区信息资源的丰富程度,就要对信息资源进行量化,目前,学者们普遍采用信息资源丰裕系数模型进行测度.该模型从信息产品的生产能力与发展潜力角度分析信息资源的测试模型,具有一定的可操作性,但该模型存在较大的缺陷,需要对该模型进行优化,应考虑丰裕系数各分指标量纲不同的可比性问题,同时应考虑各分指标的权重.     

基于地区数据的四川省普惠金融发展测度

金融是现代经济的核心,发展普惠金融对于全面建成小康社会意义重大,四川省为此推出了普惠金融发展规划（2016—2020年）。在此背景下,测度四川省普惠金融发展水平成为一个亟待解决的重要问题。从金融服务的可得性、使用度、深化度、互联网金融四个维度构建普惠金融发展测度指标体系,并用变异系数法进行赋权,计算得出四川省各地市的普惠金融指数。研究发现：虽然四川省各地市普惠金融指数呈现出整体上升趋势,但是各地市普惠金融发展水平很不平衡。在四川省普惠金融发展过程中,可以通过差异化普惠金融政策、加强数字普惠金融建设、营造普惠金融文化环境等措施,积极缩小各地市的差距,推进各地区普惠金融平衡发展。     

甘肃省工业化水平分析研究

根据钱纳里、库兹涅茨等人的工业化理论，选用甘肃省21世纪前10年的人均国内生产总值、三次产业结构、就业结构、工业化率、城镇化率、工业化系数等指标，计算分析与判断省内整体的工业化水平，并得出工业化进程的结论。     

Planning for the 1950 Censuses of Population and Agriculture

The change from the z of “Student's” 1908 paper to the t of present day statistical theory and practice is traced and documented. It is shown that the change was brought about by the extension of “Student's” approach, by R.A. Fisher, to a broader class of problems, in response to a direct appeal from “Student” for a solution to one of these problems.     

An Improved Boxplot for Univariate Data

The boxplot is an effective data-visualization tool useful in diverse applications and disciplines. Although more sophisticated graphical methods exist, the boxplot remains relevant due to its simplicity, interpretability, and usefulness, even in the age of big data. This article highlights the origins and developments of the boxplot that is now widely viewed as an industry standard as well as its inherent limitations when dealing with data from skewed distributions, particularly when detecting outliers. The proposed Ratio-Skewed boxplot is shown to be practical and suitable for outlier labeling across several parametric distributions.