A SAS(®) macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis

The Kruskal-Wallis (KW) nonparametric analysis of variance is often used instead of a standard one-way ANOVA when data are from a suspected non-normal population. The KW omnibus procedure tests for some differences between groups, but provides no specific post hoc pair wise comparisons. This paper provides a SAS^® macro implementation of a multiple comparison test based on significant Kruskal-Wallis results from the SAS NPAR1WAY procedure. The implementation is designed for up to 20 groups at a user-specified alpha significance level. A Monte-Carlo simulation compared this nonparametric procedure to commonly used parametric multiple comparison tests.     

基于Bandlet和KW技术的移动应用面部情感识别

由于情感感知移动应用的智能性和用户易接受性,使情感感知移动应用不断增加。由于移动设备的处理能力有限,因此移动设备上的情感识别方法的算法实现应该实时和高效。提出了一个移动应用上的高精度和低计算复杂度的情感识别方法。在该方法中,人脸视频由智能手机的摄像头捕获,从视频中提取一些有代表性的帧,并且用一个人脸检测模块从这些帧中提取人脸区域。脸部区域被Bandlet变换处理,结果子波被划分为互不重叠的子块。计算每个块的局部二进制值模式的直方图,将所有块的直方图关联起来作为描述面部图像的特征集。用Kruskal-Wallis检验从面部图像特征集中选择最具优势的特征,将这些特征送入高斯混合模型分类器中进行情感识别。实验结果表明,该方法在一个合理的时间内实现了高识别精度。     

宿舍因素对学业成绩的影响——以某校管理学院的样本为例

采用方差分析和Kruskal-Wallis秩检验研究管理学院宿舍因素对学生学业成绩的影响,得出学风建设的一个工作领域以及努力的方向.整体上,宿舍学业成绩差异不具有统计显著性,但在不同专业、四年的不同学习阶段成绩差异却显示不同状况:工管、信管和人力专业显著性逐渐增强,会计、国贸和营销始终保持显著性,行管专业则无统计显著性...     

Evaluating Long-Term Trends in Annual and Seasonal Precipitation in Taiwan

This work studies long-term rainfall variations in Taiwan and provides local climate change analyses to global climate change. Around a century of rainfall data from 33 rain-gauges populate the database used herein. Statistical tests, such as cumulative deviations, Mann-Whitney-Pettitt statistics and the Kruskal-Wallis test, were first employed to determine whether annual rainfall series exhibit any regular trend. Analytical results indicate that the annual rainfall has increased in northern Taiwan, declined in central and southern Taiwan, and exhibited no clear tendency in Eastern Taiwan. Almost all of these rainfall series changed significantly around 1960, which date divides historical rainfall series into two sample groups. This change in the seasonal rainfall was further investigated.     

REGRES: A FORTRAN-77 program to calculate nonparametric and “structural” parametric solutions to bivariate regression equations

NPSTAT compares the location (median), dispersion (variance), and overall shape of 2 or more groups of data (samples), using the Kruskal-Wallis and Van der Waerden tests (> 2 groups), Mann-Whitney and Kolmogorov-Smirnov tests (2 groups), and squared ranks test (2 or more groups). Exact or approximate significance levels of test statistics are calculated in all situations. Multivariate data are treated one variable at a time. NPSTAT reproduces results from textbooks despite previous inconsistencies with calculation and significance assessment methods. Commercial routines (e.g. in MINITAB, NAG) cover only 3 of the 5 tests programmed, but yield consistent results for these. NPSTAT is useful particularly for comparing nonnormally distributed data, multivariate data with missing values, and data measured only on an ordinal scale. It also can be used to assess outlying values.     

Kruskal-Wallis H检验平均秩多重比较在SPSS软件中的实现

【目的】利用SPSS统计软件实现完全随机设计多个独立样本秩和检验的方法,即KruskalWallis H检验平均秩的多重比较.【方法】在SPSS 18.0以上的版本中,通过菜单操作方式实现.【结果】实例验证证明,结果运行正确,并介绍了SPSS软件实现平均秩多重比较的原理.【结论】在SPSS18.0以上的版本中可通过菜单的方式实现Kruskal-Wallis H检验秩次间多重比较,为广大科研工作者进行统计分析提供了便利.