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

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

1.1K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
1.1K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

264
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...
264
Upsampling01:22

Upsampling

569
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
569
Sampling Plans01:23

Sampling Plans

866
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
866
Sample Size Calculation01:19

Sample Size Calculation

6.2K
Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
6.2K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

5.0K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
5.0K

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

Dysbiosis of oral bacteriome and mycobiome associated with the severity of heart failure.

BMC oral health·2026
Same author

Precision imaging biomarkers for gout: artifact-specific spectral CT parameters for personalized differentiation of tophi in a prospective study.

Therapeutic advances in musculoskeletal disease·2026
Same author

Real-world assessment of low-density lipoprotein cholesterol goal, disease burden and financial burden among patients with atherosclerotic cardiovascular disease in Singapore-A single-centre retrospective cohort study.

Frontiers in cardiovascular medicine·2026
Same author

Neural-tumor crosstalk in driving tumor metabolic reprogramming.

Biochimica et biophysica acta. Reviews on cancer·2026
Same author

Electron-conducting DNA track-mediated BiOI homojunction pre-enhanced platform for DNA walker-guided photoelectrochemical polarity inversion.

Biosensors & bioelectronics·2026
Same author

Electrocatalytic Hydrogenation of Pyrazine by Cu<sub>0.95</sub>Co<sub>2.05</sub>O<sub>4</sub>: Kinetics, Mechanism, and Performance.

Chemistry, an Asian journal·2026
Same journal

Elastic functional Cox regression model with shape predictors.

Journal of applied statistics·2026
Same journal

An improved two-stage binary relevance method for multilabel classification.

Journal of applied statistics·2026
Same journal

Classification of multivariate functional data with an application to ADHD fMRI data.

Journal of applied statistics·2026
Same journal

Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection.

Journal of applied statistics·2026
Same journal

Sparse long-only Markowitz portfolio optimization.

Journal of applied statistics·2026
Same journal

Homogeneity of multinomial populations when data are classified into a large number of groups.

Journal of applied statistics·2026
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.6K

函数式乘法模型和最佳亚抽样的LPRE估计.

Qian Yan1, Hanyu Li1

  • 1College of Mathematics and Statistics, Chongqing University, Chongqing, People's Republic China.

Journal of applied statistics
|December 4, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一个使用新型错误标准的功能线性乘法模型. 它建立了估计器的一致性,并为大型数据集开发了最佳的亚抽样技术,提高了统计效率.

关键词:
最小的产品相对误差异常的正常性异常的正常性函数式的多重化模型.大规模的数据数据数据.最优的部分采样样

更多相关视频

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.7K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

14.2K

相关实验视频

Last Updated: Jan 9, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.6K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.7K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

14.2K

科学领域:

  • 统计 统计 统计 统计
  • 计量经济学 计量经济学 计量经济学
  • 机器学习 机器学习

背景情况:

  • 功能线性乘法模型对于分析复杂数据结构至关重要.
  • 当处理大量数据集时,现有的方法可能缺乏效率.
  • 最少的产品相对误差标准为模型装配提供了可靠的替代方案.

研究的目的:

  • 用最小产品相对误差标准研究功能线性乘法模型.
  • 确定估计器的理论性质,包括一致性和非对称的正常性.
  • 在这个模型中,开发和评估最优的部分采样策略,以处理大量数据.

主要方法:

  • 在规范化条件下确定估计器的一致性和异常正常性.
  • 导出亚样本估计器的一致性和异常分布.
  • 通过A-最佳性标准来确定最佳子样本概率.
  • 提出切实可行的替代子采样概率,避免赫森矩阵反转.

主要成果:

  • 主要估计器的一致性和非对称正常性的理论保证.
  • 证明了亚抽样估计器的一致性和衍生的异常分布.
  • 确定大规模应用的最佳和实用的部分采样概率.
  • 通过数值模拟和真实世界数据分析验证拟议的方法.

结论:

  • 建议的最小产品相对误差方法为函数式线性乘法模型提供了一个一致的和异常正常的估计器.
  • 最佳的部分采样策略显著提高了大规模数据集的效率.
  • 替代部分采样概率为实际实施提供了一个计算上可行的和有效的解决方案.