Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.4K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.2K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.2K
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

89
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
89
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

79
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
79
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

448
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
448
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

725
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
725

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Validity of multiple human pose estimation tools for measuring knee impact angles in video-captured falls of older adults.

PloS one·2026
Same author

Evaluating Time-Space Methodologies to Detect Clusters of HIV Transmission: a Comparison of Advanced Methods in Washington State, 2010-2022.

Journal of acquired immune deficiency syndromes (1999)·2026
Same authorSame journal

Impact of Compensation Coefficients on Active Sequential Change-Point Detection.

Sequential analysis·2025
Same author

Regulating the Direct Electron Transfer of Bilirubin Oxidase in a Glucose/Oxygen Biofuel Cell for Self-Powered Detection of Aflatoxin B1.

Langmuir : the ACS journal of surfaces and colloids·2025
Same author

Self-powered detection of T4 polynucleotide kinase activity based on DNA structure transformation-modulated direct electron transfer of bilirubin oxidase.

Talanta·2025
Same author

Rollout designs for lump-sum data.

Journal of applied statistics·2025

相关实验视频

Updated: Jul 17, 2025

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.0K

对于未知后变化参数的活跃最快检测的非对称最佳性理论.

Qunzhi Xu1, Yajun Mei1

  • 1H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.

Sequential analysis
|August 30, 2023
PubMed
概括

本研究引入了一种新的算法,用于快速检测多个数据流系统中的变化. 拟议的方法有效地将检测延迟降至最低,同时遵守采样约束.

科学领域:

  • 统计 统计 统计 统计
  • 信号处理 信号处理
  • 控制理论 控制理论

背景情况:

  • 最快的检测问题旨在尽量减少系统更改后的延迟.
  • 采样约束限制了从多个流中获取数据.
  • 未知后更改参数使检测复杂化.

研究的目的:

  • 开发一种高效的算法,以在采样控制约束下进行最快的检测.
  • 在p个局部流之一中处理未知后更改参数的场景.
  • 为了尽量减少检测延迟,同时管理错误报警和采样限制.

主要方法:

  • 提出了一个基于贪循环采样的算法.
  • 算法在每个时刻只观察一个流的约束下运行.
  • 分析了关于检测延迟的非对称最佳性.

主要成果:

  • 拟议的算法被证明是不对称的最佳.
  • 它有效地减少了在错误报警和采样控制约束下检测延迟.
  • 数字研究证明了算法的有效性和适用性.

结论:

关键词:
非对称的最佳性是最优的.这就是CUSUM CUSUM.积极采样 积极采样变化点检测 变化点检测

更多相关视频

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.7K
A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
08:38

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

7.7K

相关实验视频

Last Updated: Jul 17, 2025

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.0K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.7K
A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
08:38

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

7.7K
  • 贪循环采样算法为采样约束的最快检测问题提供了有效的解决方案.
  • 它为具有未知后更改参数的系统提供了实用方法.
  • 该方法通过模拟进行验证,确认其性能.