Large Differences between Partial Correlation Coefficients

A plot of each ranking of N objects in N-dimensional space is shown to provide geometric interpretations of Kendall's tau and Spearman's rho and also of the relationship of rho to a sum of inversion weights. The computation of rho from a sum of inversion weights is shown to allow sequential calculation of rho.     

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.     

Determining the effects of intraclass correlation on factorial experiments

This paper considers the effects of the presence of eqmi-correlation between observations in a k-way factorial experiment, A technique to provide unbiased F-tests is also constructed.     

A stochastic version of the malthusian trap model: Consequences for the empirical relationship between economic growth and population growth in LDC's

A stochastic version of the Malthusian trap model relating the growth rate of income per capita to the population growth rate of a given country is described. This model is applied to the a priori evaluation of the cross‐sectional correlation between these two growth rates under two additional assumptions: i) the relations in the model at national levels include country‐specific and time‐invariant random components, and ii) these growth rates are measured with a certain degree of temporal aggregation. It is shown that these two assumptions can explain near‐zero correlations between the two growth rates even if there exist a strongly negative effect of population growth on economic growth. However it is not clear whether these assumptions fully explain such insignificant correlations. Indeed, the implementation of the model is complicated by the structural shifts which are likely to occur in the equations over the course of the demographic transition.     

企业非确定型决策与中庸

在企业常用的非确定型决策方法中 ,决策者对未来所持的态度不同 ,选择的方案就不同。如何保持正常的心态 ,作出科学的选择 ,这一思想正好与中国传统文化中道德领域的中庸相一致。中庸强调“既不太过 ,也不不及” ,保持“适中”的人生态度。古为今用 ,不同领域 ,问题的根本都是对不确定型问题的决策     

从解一个古典概率问题所想到的

文章给出一个古典概率问题的两个解法，从而导出几个有趣的等式。     

阅读理解测试的变量研究

本文通过对实验素材和结果的定量分析 ,探讨了可读性、题材、测试题型 (自变量 )与测试结果 (因变量 )之间的相关关系。证明了 :1.不同的题材具有不同的区分能力 ;2 .不同的题型是造成分数差异的主要因素。指出 :在被试的能力范围内 ,可读性对测试结果的影响 ,并不如国外 36项研究所表明的那么明显。含多种题材和题型的阅读理解测试 ,更能有效地反映被试在阅读理解过程中各个层次的能力。     

产品品种繁多类型企业投入产出表的处理思想与方法

对于生产装配性产品的机械企业，由于产品与原材料种类繁多，将造成企业投入产出表的规模庞大，致使投入产出表的编制、计算和使用产生诸多问题，甚至难以实现。为了控制表的规模，常采用将消耗量相近、生产工艺相近的产品合并的做法。但这种做法严重影响了投入产出表的精度和应用效果。因此，本文讨论了更为有效的解决这类问题的思想和方法。     

体育产业关联效应的实证分析--以六省、市(区)为例

体育产业化发展已成为当今体育发展的一个必然趋势.我国体育产业伴随着经济的持续增长以及居民消费水平的提高和消费结构的变化,已进入快速发展的阶段,这是产业演进规律的必然结果.体育作为一个产业正在成为我国新的经济增长点.通过对体育产业关联效应的分析,对于促进体育产业及其相关产业的快速、健康发展,推动经济增长具有重要的理论和现实意义.     

Data depth and correlation

Summary: We describe depth–based graphical displays that show the interdependence of multivariate distributions. The plots involve one–dimensional curves or bivariate scatterplots, so they are easier to interpret than correlation matrices. The correlation curve, modelled on the scale curve of Liu et al. (1999), compares the volume of the observed central regions with the volume under independence. The correlation DD–plot is the scatterplot of depth values under a reference distribution against depth values under independence. The area of the plot gives a measure of distance from independence. Correlation curve and DD-plot require an independence model as a baseline: Besides classical parametric specifications, a nonparametric estimator, derived from the randomization principle, is used. Combining data depth and the notion of quadrant dependence, quadrant correlation trajectories are obtained which allow simultaneous representation of subsets of variables. The properties of the plots for the multivariate normal distribution are investigated. Some real data examples are illustrated. *This work was completed with the support of Ca Foscari University.