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相关概念视频

Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
2.5K
Determination of Expected Frequency01:08

Determination of Expected Frequency

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Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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Distance Measurements by Taping01:18

Distance Measurements by Taping

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Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
44
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

248
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
248

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相关实验视频

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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method

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多频匹配场源定位基于瓦斯斯坦度量对概率测量进行定位.

Qixuan Zhu1, Chao Sun1, Mingyang Li1

  • 1School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China.

The Journal of the Acoustical Society of America
|November 14, 2023
PubMed
概括

这项研究引入了Wasserstein处理器用于水下源的定位,通过使用跨光谱密度矩阵的统计指标来提高准确性. 该方法有效地减少了模两可,并增强了本地化,即使数据有限.

科学领域:

  • 声学 声学 在声学方面
  • 信号处理 信号处理
  • 统计推理 统计推理

背景情况:

  • 匹配场处理 (MFP) 是一种通用的束形技术,用于水下源的定位.
  • 传统的MFP依赖于与复制向量相关联的数组数据.
  • 现有的方法在有限的数据条件下面临着模糊性和性能方面的挑战.

研究的目的:

  • 通过使用统计指标重新制定匹配字段处理方案.
  • 开发一种新的瓦瑟斯坦处理器,用于增强水下源的定位.
  • 为了提高可靠性和减少源本地化中的模糊性,特别是缺陷快照.

主要方法:

  • 通过计算跨光谱密度矩阵 (CSDM) 的高斯概率测量之间的统计指标来重新制定MFP.
  • 应用瓦斯斯坦度量来开发利用CSDM固有的特性的处理器.
  • 导出一个多频处理器和一个方法来导出平均的巴特莱特处理器使用Wasserstein度量在迪拉克的措施.

主要成果:

  • 瓦瑟斯坦处理器有效地消除了模两可,并区分多个源.
  • 一个多频率的瓦斯斯坦处理器改善了局部化统计与缺陷的快照.
  • 通过声学模拟和SWellEx-96实验数据证明了有效性和稳定性,显示了减少的模两可.

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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

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结论:

  • 瓦斯斯坦度量为水下声学中匹配场处理提供了一种创新和有效的方法.
  • 开发的瓦斯斯坦处理器提供了改进的本地化准确性和模糊性减少.
  • 这种方法为匹配场处理提供了新的视角,包括平均巴特莱特处理器的新型衍生.