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相关概念视频

Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

28
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
28
Distance Corrections01:15

Distance Corrections

25
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
25
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

606
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.
The test works...
606
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

180
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...
180
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

46
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
46
Distance Measurements by Taping01:18

Distance Measurements by Taping

27
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...
27

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Updated: Jun 5, 2025

Author Spotlight: Accurately Assessing Thyroid Hormone-Driven Motor Alterations in Mouse
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远程辅助递归测试 (DART):远程辅助递归测试是指远程辅助的递归测试.

Xuechan Li1, Anthony D Sung2, Jichun Xie1

  • 1Department of Biostatistics, Duke University, Durham, NC 27705, USA.

Journal of machine learning research : JMLR
|December 13, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了远程辅助递归测试 (DART),这是一个新的框架,集成人工智能和统计数据,通过利用假设距离信息来增强多重测试能力. DART提供了有效,稳固和强大的结果,改善了复杂科学研究中的数据分析.

关键词:
聚合树是一个聚合树.辅助信息 辅助信息 辅助信息错误发现率 错误发现率测试的层次结构测试.多次测试多次测试多次测试

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科学领域:

  • 统计 统计 统计 统计
  • 人工智能的人工智能
  • 生物信息学是一种生物信息学.

背景情况:

  • 多重测试在数据科学中至关重要,但往往忽视了假设之间的固有关系.
  • 假设距离可以揭示co-null/co-alternative模式,这些信息可以提高统计能力.

研究的目的:

  • 引入一个新的多重测试框架,远程辅助递归测试 (DART),利用假设距离信息.
  • 通过整合人工智能和统计建模来提高假设测试中的统计能力.

主要方法:

  • DART采用两阶段的方法:人工智能模型构建一个汇总树,反映距离信息,然后使用统计模型进行测试和错误发现率控制.
  • 该框架结合了用于树构造的机器学习和用于假设测试的统计方法.

主要成果:

  • 理论分析和数值实验证实了DART的有效性,强度和功率.
  • 在一项全源干细胞移植临床试验中,DART成功地确定了受移植后护理影响的肠道微生物群.

结论:

  • 通过结合假设距离信息,DART为多重测试提供了一种强大而有效的方法.
  • 该框架显示出在临床试验和其他复杂数据分析场景中应用的巨大潜力.