二元选择面板模型的截面相关检验

鉴于CD统计量对截面相关形式是不稳健的,需对CD统计量进行修正。从而本文提出了渐近服从标准正态分布的MCD统计量,与已有的LM_(BC)统计量和CD统计量比较发现:(1)三个统计量不存在明显的水平扭曲;(2)当截面间相关度有正有负,且规模较为接近时,CD统计量的功效很低,MCD统计量和LM_(BC)统计量对于截面相关方式更稳健,而在同向截面相关模型中CD统计量的功效明显更好;(3)当模型存在分布误设或异方差时,CD统计量、LM_(BC)统计量和MCD统计量的表现都较为稳健。我们将这三个统计量应用到国内上市公司现金分红行为模型中,发现公司间分红行为具有显著的相关性。     

离散型最小和最大次序统计量相关性研究

本文研究离散型随机变量之间的相关性度量, 讨论了最小次序统计量和最大次序统计量的渐近独立性, 给出了计算最小次序统计量和最大次序统计量的Kendall和Spearman秩相关系数的公式.     

两指标双F统计过程控制图

当产品质量指标服从二元正态分时,可用T2控制图与Λ控制图联合判断产品生产的过程是否处于受控状态。本文利用T2统计量与F统计量、Λ统计量与F统计量之间的关系,得到了两指标情形下两类基于F分布统计量的统计过程控制图,简称双F统计过程控制图,并给出了控制图应用实例。     

两多维样本模型中位置参数相等性的M-检验

本文给出了基于投影寻踪方法检验两多维样本位置参数相等的M 统计量和t 统计量,分别用PP型自助M 统计量和PP型自助t 统计量给出了上述两统计量的近似分布, 并给出了检验的算法,进行一些模拟.     

单样本U统计量及其渐近性质

系统地介绍了单样本U统计量的概念与H-分解,及利用H-分解的相关性质导出U统计量的渐近性质的结论,给出了H-分解的有关性质的数学归纳法证明,从U统计量的角度举例证明了我们常见的一些统计量的渐近正态性.     

k-U统计量的指数收敛速度

研究了k-U统计量的收敛速度,在一组适当的正则条件下,获得了k-U统计量的指数收敛速度,推广了U-统计量的指数收敛速度的相应结果.     

关于U-统计量和Von-Mises统计量的极限性质

本文在核的r阶矩(r≥1)有限的条件下,获得了U-统计量的r阶矩的数量级.利用这个结果,完全解决了在上述条件下U-统计量的a.e.收敛速度问题.另一方面,在核的上述假定下得出了U-统计量和Von-Mises统计量的联系公式,并解决了Von-Mises统计量的收敛速度问题.特别,在三阶矩有限的条件下建立了Von-Mises统计量的Berry-Esseen界限.     

基于经验分布函数的高维正态性检验（英文）

基于经验分布函数(EDF)的Kolmogorov-Smirnov (KS),Cramer-von Mises (CM)和AndersonDarling (AD)统计量是单变量正态性检验中常用的统计量.本文通过变量降维方法,提出基于EDF的广义统计量来检验高维正态性.通过蒙特卡洛方法模拟了三种统计量的近似临界值,并基于单变量情形下统计量的近似分布公式研究了广义统计量在原假设下的近似分布.蒙特卡洛模拟说明在某些备择假设下,所提出的统计量比现有方法功效更好.最后,本章将提出的检验方法应用于实际数据验证统计量的有效性.     

一类相合的分位点型检验

广义非参数似然比检验统计量是一类很广的统计量,包含了众多重要的检验统计量,如Anderson-Darling(AD)等.利用Rubin的随机经验分布函数替代经验分布函数的方法,得到了广义非参数似然比检验统计量的新版本,构造了新的检验统计量.由于新的检验统计量在给定样本下仍然是随机变量,选择了它的分位点和期望作为检验统计量,分别称之为分位点型检验统计量和期望型检验统计量.在简单假设情况下,证明了分位点型检验统计量和期望型检验统计量在固定备择下的相合性.模拟结果显示,在某些备择下,新的检验的功效明显高于原有的基于经验分布函数的检验的功效.     

基于情景分析的多维拟凸风险统计量

本文定义了三类特殊的多维风险统计量,分别是多维共单调拟凸风险统计量、多维拟凸风险统计量和多维经验分布不变拟凸风险统计量,并采用对偶方法给出了它们的表示定理.本文的结果既是一维拟凸风险统计量的推广,也是多维凸风险统计量的拓展.     

A Quantile Goodness-of-Fit Test for Cauchy Distribution, Based on Extreme Order Statistics

A test statistic for testing goodness-of-fit of the Cauchy distribution is presented. It is a quadratic form of the first and of the last order statistic and its matrix is the inverse of the asymptotic covariance matrix of the quantile difference statistic. The distribution of the presented test statistic does not depend on the parameter of the sampled Cauchy distribution. The paper contains critical constants for this test statistic, obtained from 50,000 simulations for each sample size considered. Simulations show that the presented test statistic is for testing goodness-of-fit of the Cauchy distributions more powerful than the Anderson-Darling, Kolmogorov-Smirnov or the von Mises test statistic.     

Improved omnibus test statistic for normality

We propose a new omnibus test statistic for normality based on the Jarque–Bera test statistic. We give the exact first four moments of the null distribution for the statistic using a computer algebra system. Our proposed statistic is an improvement of Jarque–Bera test statistic. Then the cumulants of the standardized statistic satisfy the Cornish–Fisher assumption. We give a normalizing transformation of the statistic based on the Wilson–Hilferty transformation.     

A VIEW OF THE CHI-SQUARE STATISTIC

Statistical analysis of contingency tables is essentially a discrete multivariate problem. To test independence in a two-way contingency table, one can use different principles such as general class of distance or Mahalanobis distance to derive test statistic. Most of them result in the chi-square statistic, which is a simple test statistic. The disadvantage of the chi-square test is discussed from a multivariate point of view. A new test statistic is proposed for testing independence. This statistic is more sensitive to dependence than the chi-square statistic.     

Wilcoxon signed rank test using ranked-set sample

Ranked-set sampling is useful when measurements are destructive or costly to obtain but ranking of the observations is relatively easy. The Wilcoxon signed rank test statistic based on the ranked-set sample is considered. We compared the asymptotic relative efficiencies of the RSS Wilcoxon signed rank test statistic with respect to the SRS Wilcoxon signed rank test statistic and the RSS sign test statistic. Throughout the ARE’s, the proposed test statistic is superior to the SRS Wilcoxon signed rank test statistic and the RSS sign test statistic.     

A semiparametric Wald statistic for testing logistic regression models based on case-control data

We propose a semiparametric Wald statistic to test the validity of logistic regression models based on case-control data. The test statistic is constructed using a semiparametric ROC curve estimator and a nonparametric ROC curve estimator. The statistic has an asymptotic chisquared distribution and is an alternative to the Kolmogorov-Smirnov-type statistic proposed by Qin and Zhang in 1997, the chi-squared-type statistic proposed by Zhang in 1999 and the information matrix test statistic proposed by Zhang in 2001. The statistic is easy to compute in the sense that it requires none of the following methods: using a bootstrap method to find its critical values, partitioning the sample data or inverting a high-dimensional matrix. We present some results on simulation and on analysis of two real examples. Moreover, we discuss how to extend our statistic to a family of statistics and how to construct its Kolmogorov-Smirnov counterpart. This work was supported by the 11.5 Natural Scientific Plan (Grant No. 2006BAD09A04) and Nanjing University Start Fund (Grant No. 020822410110)     

The distribution of the maximum likelihood-ratio statistic used for testing a normal sample for three outliers

We study the exact distribution of the likelihood-ratio statistic used for testing a normal sample for three upper (lower) outliers. We obtain recursive correlations for the integral distribution function of this statistic. We apply the obtained correlations for calculating critical values of the likelihood-ratio statistic which appear to be close to critical values of this statistic simulated by the Monte Carlo method. We give an example of the joint use of the likelihood-ratio statistic for testing a sample for more than one outlier.     

On tests for the mean direction of the Langevin distribution

The asymptotic expansions of the distribution of a sum of independent random vectors with Langevin distribution are given. The power functions of the likelihood ratio criterion, Watson statistic, Rao statistic and the modified Wald statistic for testing the hypothesis of the mean direction are obtained asymptotically and a numerical comparison is made.     

A new test of independence for high-dimensional data

This paper proposes a new statistic to test independence of high-dimensional data. The simulation results suggest that the performance of the test based on our statistic is comparable to the existing ones, and under some circumstances it may have higher power. Therefore, the new statistic can be employed in practice as an alternative choice.     

Chernoff-Savage统计量的Bootstrap逼近

本文将Efron提出的Bootstrap方法应用于具有广泛应用的Chernoff-Savage统计量，讨论了它的Bootstrap分布的渐进性质，证明了该统计量的规则化形式的Bootstrap分布弱收敛干正态分布．     

统计报表中异常值的识别与缺失值的预测

本文通过两个统计年报表的例子验证了统计报表中的数据近似服从对数正态分布,并利用这一特点建立了对数线性模型,对统计报表中的异常值进行识别和对缺失值作出预测。