多元统计在运动训练水平中的应用

评价、分析运动训练水平是训练过程中的重要组成部分 ,是教练员控制训练过程的理论和实践依据 .利用多元统计的方法 ,对高校排球运动员的心理、生理、技术等重要指标进行研究 ,提出了运动训练水平的评价方法 .评价方法简单易行 ,具有一定的实用价值 .     

GH220合金渗Al层的逐层相分析

通过物理—化学相分析及其它物理手段对经900℃不同时间时效的GH220合金的渗铝层进行了逐层相分析。用联立方程分别求出离表面不同深度范围内β—NiAl相γ′相的含量。通过修正比重,对取层厚度进行了合理计算。提供了渗铝层中相变趋势。本文把计算过程全部编成程序。对微处理机在相分析中的运用作了初步尝试。     

如何写好统计分析

统计分析的广度、深度和力度决定于分析思路和表述思路,归结于写作思路。提高统计分析的广度、深度和力度,必须在写作思路的培养锻炼上下功夫,达到升华和提高。     

有限元法的一般思想

介绍了有限元法的基本思想，探讨了能量法求解的一般思路，并简要说明了杆系结构求解的一般思路。     

液压支架压力变送器的电路设计

分析了液压支架的压力特性并提出对压力变送器的技术要求，阐述了压力传感器的选择和外围电路的设计，对压力变送器的信号调理电路进行了仿真分析。     

基于AHP的居民个人住房购房决策模型

影响个人住房购房的因素很多,如价格因素、家庭收入因素、区位因素、楼盘小区配套因素等,这些因素对于购房者的影响程度各不相同,于是选择一套适合自己的住房便成为摆在购房者面前的一道难题。运用多目标决策分析中的层次分析法解决了购房者的这个难题。     

高职院校绩效管理探析

介绍了高职院校绩效管理的含义，分析了影响高职院校绩效管理实施的因素，并提出了实施绩效管理的有效措施。     

基于GIS的生态功能区划在生态城市建设中的应用——以陕西省凤县为例

在对目前生态功能区划众多方法进行比较的基础上,将GIS技术应用到陕西省宝鸡市凤县生态功能区划中。根据研究区生态环境要素、生态环境敏感性及生态服务功能的差异,把区域划分成四个不同的生态功能区,即北部森林生态重点保护区,中部林、药、养殖、矿产限制开发区,中部粮、椒、果、城镇与贸易重点开发区,南部生物多样性保护与生态旅游区,并综合考虑区域实际情况进行深一步规划研究。     

Mechanical Design and Research on Process of Air Suction Drawing System of Spunbonded Nonwoven

The design guideline for the air suction drawing system with auxiliary air was analyzed, a spunbonding nonwoven system named PADHL1 - 3200 was designed and polypropylene （PP） spunbonded nonwoven fabrics with excellent properties were achieved after many trial runs. On the other hand, the suction air velocity （VA） was calculated and the influence of VA on the bonding strengh of PP nonwoven fabrics was Studied as well. It was found that VA is 1.5 - 2.5 times of the spinning velocity. With the increase of VA, PP fibers become finer and the bonding strength of PP nonwoven fabrics increases as well.     

Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms

In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the amalgamation process. The traditional approach for solving this drawback has been to take any arbitrary criterion in order to break ties between distances, which results in different hierarchical classifications depending on the criterion followed. In this article we propose a variable-group algorithm that consists in grouping more than two clusters at the same time when ties occur. We give a tree representation for the results of the algorithm, which we call a multidendrogram, as well as a generalization of the Lance andWilliams’ formula which enables the implementation of the algorithm in a recursive way. The authors thank A. Arenas for discussion and helpful comments. This work was partially supported by DGES of the Spanish Government Project No. FIS2006–13321–C02–02 and by a grant of Universitat Rovira i Virgili.