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Updated: May 29, 2025

Observation and Analysis of Blinking Surface-enhanced Raman Scattering
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Observation and Analysis of Blinking Surface-enhanced Raman Scattering

Published on: January 11, 2018

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定向随机图的单值统计数据

J A Méndez-Bermúdez1, R Aguilar-Sánchez2

  • 1Universidad Nacional Autónoma de Honduras, Benemérita Universidad Autónoma de Puebla, Instituto de Física, Puebla 72570, Mexico and Escuela de Física, Facultad de Ciencias, Honduras.

Physical review. E
|February 7, 2025
PubMed
概括

单数值统计学有效地在指向图中分析非赫米特式随机矩阵. 该方法区分图形模型,并确定从孤立到完整网络的过渡.

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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