Revealing Statistical Independence of Two Experimental Data Sets: An Improvement on Spearman's Algorithm

机译：揭示两个实验数据集的统计独立性：Spearman算法的改进

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

A high effective statistical independence test procedure derived from Spearman's Rank Correlation Test is presented, applicable to all kind of continuous variables (normal or not, even of unknown probability law). Some relevant practical signal processing test examples as well as a Monte Carlo performance comparison with Spearman's Rank Correlation Test capabilities are explained. Besides describing the test procedure algorithm, the paper reveals, from an engineering point of view, some significant aspects concerning the understanding (perception) of the important and not simple concepts, i.e. testing dependence versus statistical independence.

机译：提出了一种有效的统计独立性测试程序，该程序源自Spearman的秩相关检验，适用于所有类型的连续变量（无论正常与否，甚至未知的概率定律）。解释了一些相关的实用信号处理测试示例，以及与Spearman的秩相关测试功能进行的蒙特卡洛性能比较。除了描述测试程序算法外，本文还从工程学角度揭示了一些重要方面，这些方面涉及对重要而非简单概念的理解（感知），即测试依赖性与统计独立性。

著录项

来源
《International Conference on Computational Science and Its Applications(ICCSA 2006) pt.1; 20060508-11; Glasgow(GB)》|2006年|P.1166-1176|共11页
会议地点 Glasgow(GB)
作者
Bogdan Badea; Adriana Vlad;
展开▼
作者单位

Faculty of Electronics, Telecommunications and Information Technology, Politehnica University of Bucharest, Romania;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词

相似文献

外文文献
中文文献
专利

1. Assessment and improvement of statistical tools for comparative proteomics analysis of sparse data sets with few experimental replicates [J] . Schw?mmle V., León I.R., Jensen O.N. Journal of proteome research . 2013,第9期

机译：评估和改进统计工具，用于比较蛋白质组学的稀疏数据集分析，几乎没有实验重复
2. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework [J] . J. Alcala-fdez, A. Fernandez, J. Luengo, Journal of multiple-valued logic and soft computing . 2011,第2a3期

机译：KEEL数据挖掘软件工具：数据集存储库，算法和实验分析框架的集成
3. Bend strength of alumina ceramics: A comparison of Weibull statistics with other statistics based on very large experimental data set [J] . Lovro Gorjan, Milan Ambrozic Journal of the European Ceramic Society . 2012,第6期

机译：氧化铝陶瓷的弯曲强度：基于非常大的实验数据集的威布尔统计与其他统计的比较
4. Revealing Statistical Independence of Two Experimental Data Sets: An Improvement on Spearman’s Algorithm [C] . Bogdan Badea, Adriana Vlad International Conference on Computational Science and Its Applications . 2006

机译：揭示两个实验数据集的统计独立性：对Spearman的算法改进
5. Reliable and Efficient Algorithms for Spectrum-Revealing Low-Rank Data Analysis [D] . Anderson, David Gaylord 2016

机译：可靠，高效的频谱揭示低秩数据分析算法
6. Comparison of Co-Temporal Modeling Algorithms on Sparse Experimental Time Series Data Sets [O] . Edward E. Allen, James L. Norris, David J. John, -1

机译：稀疏实验时间序列数据集的共颞建模算法的比较
7. Practical algorithms for clustering and modeling large data sets : analysis and improvements [O] . Kuntze Daniel 2014

机译：大型数据集的聚类和建模的实用算法：分析和改进
8. Machine Learning Algorithms for Statistical Patterns in Large Data Sets. [R] . Dubrawski, A. 2018

机译：大数据集统计模式的机器学习算法。

Revealing Statistical Independence of Two Experimental Data Sets: An Improvement on Spearman's Algorithm

摘要

著录项

相似文献

相关主题

期刊订阅