On minimaxity of the normal precision matrix estimator of Krishnamoorthy and Gupta

We consider the orthogonally invariant estimation problem of the inverse of the scale matrix of Wishart distribution using Stein's loss (entropy loss). In this problem Krishnamoorthy and Gupta [2] Krishnamoorthy, K. and Gupta, A. K. (1989). Improved minimax estimation of a normal precision matrix. Canad. J. Statist., 17: 91–102. [Crossref], [Web of Science ®] , [Google Scholar] proposed an estimator and showed its good performance in a Monte Carlo simulation. They conjectured their estimator is minimax. Perron [3] Perron, F. (1997). On a conjecture of Krishnamoorthy and Gupta. J. Multivariate Anal., 62: 110–120.  [Google Scholar] proved its minimaxity for p?=?2. In this paper we prove it for p?=?3 by using a new method.     

The beta generalized gamma distribution

For the first time, a new five-parameter distribution, called the beta generalized gamma distribution, is introduced and studied. It contains at least 25 special sub-models such as the beta gamma, beta Weibull, beta exponential, generalized gamma (GG), Weibull and gamma distributions and thus could be a better model for analysing positive skewed data. The new density function can be expressed as a linear combination of GG densities. We derive explicit expressions for moments, generating function and other statistical measures. The elements of the expected information matrix are provided. The usefulness of the new model is illustrated by means of a real data set.     

A Comparison of Multiple Outlier Detection Methods for Regression Data

The problem of outliers in statistical data has attracted many researchers for a long time. Consequently, numerous outlier detection methods have been proposed in the statistical literature. However, no consensus has emerged as to which method is uniformly better than the others or which one is recommended for use in practical situations. In this article, we perform an extensive comparative Monte Carlo simulation study to assess the performance of the multiple outlier detection methods that are either recently proposed or frequently cited in the outlier detection literature. Our simulation experiments include a wide variety of realistic and challenging regression scenarios. We give recommendations on which method is superior to others under what conditions.     

Haddon矩阵模型在技巧啦啦队训练损伤防范中的运用

本文应用Haddon矩阵模型理论对技巧啦啦队训练伤害的防范进行研究。试图以新的视角寻找损伤防范的规律,建立新的啦啦队训练赛事精准分析矩阵模型,将弥补技巧啦啦队训练伤害防范中的理论空白。并依据新矩阵模型,研究从运动者、物理环境、社会环境以及媒介四个方面提出减少训练损伤的方法。     

传感器个数及距离对盲分离影响的分析

在使用盲分离技术进行信号处理时,分离高频信号和低频信号对传感器分布的要求是不同的,而传统的方法在处理高低频混合信号时采用了统一的模式,得不到很好的分离效果。为了在采用盲分离技术进行高低频混合信号处理时能得到更好的效果,文章对传感器个数和距离对盲信号分离的影响进行了深入的分析,并提出了一种能有效处理高频和低频混合信号的模型——分离子系统模型。该模型可以根据频段对传感器距离进行调整,分别对高、低频混合信号进行分离。通过实验证明分离效果更好。     

高校学报项目化管理探究——以《辽宁工程技术大学学报》为例

为了进一步提高高校学报出版活动效率,采用项目管理的方法对高校学报出版活动进行研究。分析了高校学报项目化管理的可行性。针对高校学报出版发行活动,制定了一套切实可行的操作计划,运用WBS方法对学报出版项目工作进行层层分解,项目责任矩阵图将所分解的工作落实到有关部门或个人。为确保能够在规定的时间内实现期刊出版项目的目标,编制了学报出版项目的甘特图,利用Project软件对现有人力资源和进度进行调配,使学报出版工期在原来50天的基础上缩短了16天。可见通过运用科学的项目管理工具对高校学报出版发行活动进行管理,使得高校学报管理工作更加规范化、科学化。     

线性矩阵不等式问题的进化计算解决方法

针对决定模糊控制中稳定性的线性矩阵不等式问题,提出了用进化计算来解决模糊控制中线性矩阵不等式的新算法。实验证明,该算法解“用于实现模糊控制的增益调度和稳定性的线性矩阵不等式”是有效的。     

逻辑方阵的普适性探讨

2 0世纪 90年代以来 ,逻辑学界对逻辑方阵的研究取得一定成果 ,打破了逻辑方阵仅适用于简单命题范围之内的狭隘认识。认为逻辑方阵适用于一切命题。但仍显不足。笔者以为 :逻辑方阵不仅适用于命题之间 ,还适用于推理与推理之间、命题与推理之间 ,具有真正意义上的普适性特征。     

基于ANSYS的钢管混凝土拱桥吊杆二次张拉力确定

吊杆的张拉直接关系到系杆拱桥成桥后能否达到合理成桥状态,因此吊杆施工张拉力的确定是拱桥施工中的关键问题。首先运用正装迭代法模拟系杆拱桥吊杆的初张拉过程,得到施加二期恒载后各吊杆内力;然后运用影响矩阵法确定了吊杆二次张拉的控制力,以指导实际施工。基于大型分析软件ANSYS,提出了一种影响矩阵的简易求法。该方法概念明确,简单易行,对同类工程具有一定的参考价值。     

有关P_B~⊥P_A、P_A~⊥P_B的矩阵等式和秩等式

在M=(A B)中,令A1=P⊥BPA,B1=P⊥APB,利用投影算子理论和矩阵秩方法可以得到关于A1,B1的一些矩阵等式和秩等式.