Asymptotic robustness of the normal theory likelihood ratio statistic for two-level covariance structure models

Data in social and behavioral sciences are often hierarchically organized. Special statistical procedures have been developed to analyze such data while taking into account the resulting dependence of observations. Most of these developments require a multivariate normality distribution assumption. It is important to know whether normal theory-based inference can still be valid when applied to nonnormal hierarchical data sets. Using an analytical approach for balanced data and numerical illustrations for unbalanced data, this paper shows that the likelihood ratio statistic based on the normality assumption is asymptotically robust for many nonnormal distributions. The result extends the scope of asymptotic robustness theory that has been established in different contexts.     

A note on testing symmetry with estimated parameters

A simple yet general technique is presented for the problem of assessing symmetry about an unknown point with linear rank statistics.     

A Statistical Method for Analysis of Technical Data of a Badminton Match Based on 2-D Seriate Images

The use of computer vision technology to collect and analyze statistics during badminton matches or training sessions can be expected to provide valuable information to help coaches to determine which tactics should be used by a player in a given game or to improve the player＇s tactical training. A method based on 2-D seriate images by which statistical data of a badminton match can be obtained is presented. Image capture and analysis were performed synchronously using a multithreading technique. The regions of movement in the images were detected using a temporal difference method, and the trajectories of the movement regions were analyzed using sedate images. The shuttlecock trajectory was extracted from all detected trajectories using various characteristic parameters. The stroke type was determined by comparing the shuttlecock trajectory data with a set of stroke definition data. The algorithm was tested at a training center, and the results were compared with baseline data obtained by expert visual inspection using four video samples, which included approximately 10 000 frames. The shuttlecock trajectory and stroke type were detected correctly in almost 100% of the analyzed video sequences. The average speed of the automated analysis was approximately 40 frames/s, indicating that the method can be used for real-time analysis during a badminton match. The system is convenient for use by a sports coach.     

Ⅴ型三能级原子与双模奇偶纠缠相干光场相互作用系统的光子统计性质

本文采用求解Schroedinger方程和数值计算方法,研究了Ⅴ-型三能级原子与双模奇偶纠缠相干光场相互作用系统的光子统计性质,结果表明：此性质与双模奇偶纠缠相干光场的纠缠程度、失谐量、原子的初态以及双模光的平均光子数相关联．     

一种用于激光雷达识别车道标线算法

利用点云数据空间分布特征和回波强度信息,结合局部均值变点统计方法,提出了一种用于激光雷达数据帧的车道标线识别算法。该算法首先基于车载激光雷达采集的道路周围环境点云数据中高程信息进行滤波,确定可行驶区域。然后利用局部均值变点统计对可行驶区域点云数据中的回波强度值进行标记提取,即车道标线点云数据粗提取。最后基于EM(最大期望)方法聚类,从而完整、准确地识别车道标线。实验结果表明,该算法不仅能够准确定位可行驶区域,进而可以实现车道标线的自动提取;而且有效抑制了道路周围环境对车道标线识别的干扰,验证了算法的有效性。     

智慧城市建设,数据与规划管理

 智慧城市建设是因为信息和通信技术（ICT）更新传统城市设施带来的新的城市建设。因个人智能设备、云计算和大数据的普及,城乡地区会产生巨大的生活方式变化。智慧城市的实践和创新对城市管理提出了新的要求,追求更好的城市、更好的生活。据此本文论述了智慧城市建设的概念与目标,以及相关的制度建设与城市规划。     

SCI 与SSCI 收录华南师范大学学术论文的统计与分析

以美国科学情报社的Web of Science网络数据库为依据,对1994～2003年问SCI和SSCI收录华南师范大学学术论文情况,从论文数量、学科、作者和期刊的角度进行了归类、统计与分析．最后指出：华南师范大学要提高国际影响力,必须在SCI和SSCI论文的数量和质量上有所突破．     

软件度量的研究

软件度量是过程改进中不可忽视的一项工作,已成为CMMI2级中一个独立的过程域。基于CMMI的度量框架,阐述了如何按照此框架进行度量,并在此基础上举例说明如何使用此框架进行度量与分析。