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

Outliers and Influential Points01:08

Outliers and Influential Points

4.1K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
4.1K
Probability Distributions01:32

Probability Distributions

7.3K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
7.3K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
64
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

96
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
96
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.1K
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...
4.1K
Distribution and Dispersion00:54

Distribution and Dispersion

21.9K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
21.9K

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

Gallibacterium anatis as an emerging pathogen in pet birds: biofilm formation contributes to treatment challenges and persistence.

BMC microbiology·2025
Same author

Enhancing Hospital Services: Achieving High Quality Under Resource Constraints.

Health services insights·2025
Same author

A parametric bootstrap control chart for Lindley Geometric percentiles.

PloS one·2025
Same author

Analyzing resilient performance of workers with multiple disturbances in production systems.

Applied ergonomics·2024
Same author

Evaluating and prioritizing the healthcare waste disposal center locations using a hybrid multi-criteria decision-making method.

Scientific reports·2023
Same author

Turkish Version of the Test Your Memory (TYM-TR) as a Screening Tool in Memory Clinics.

American journal of Alzheimer's disease and other dementias·2021

相关实验视频

Updated: Jul 21, 2025

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

3.4K

建模收入分配:一种经济物理学方法.

Hossein Jabbari Khamnei1, Sajad Nikannia2, Masood Fathi3,4

  • 1Department of Statistics, Faculty of Mathematics; Statistics and computer Science, University of Tabriz, Tabriz, Iran.

Mathematical biosciences and engineering : MBE
|July 28, 2023
PubMed
概括

这项研究揭示了伊朗的伊朗.

关键词:
这是Gibbs-Boltzmann的方法.经济物理 经济物理收入分配收入的分配.逻辑 正常 逻辑 正常帕雷托帕雷托 (Pareto Pareto) 是一个

更多相关视频

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.1K
Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

7.5K

相关实验视频

Last Updated: Jul 21, 2025

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

3.4K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.1K
Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

7.5K

科学领域:

  • 经济物理 经济物理
  • 收入分配建模 收入分配建模
  • 统计分析 统计分析

背景情况:

  • 了解收入分配对于经济政策至关重要.
  • 像帕雷托和Lognormal这样的传统模型可能无法完全捕捉复杂的收入动态.
  • 经济物理学为分析经济现象提供了新的方法.

研究的目的:

  • 开发和验证伊朗收入分配的适当模型.
  • 评估帕雷托,Lognormal和吉布斯-博尔兹曼分布对伊朗收入数据的适用性.
  • 确定最适合解释收入分配模式的统计模型.

主要方法:

  • 利用经济物理学的方法来模拟收入分配.
  • 分析了伊朗 (2006-2018) 的家庭收入数据.
  • 对比了帕雷托,Lognormal和一般化的吉布斯-博尔兹曼分布的适配精度.

主要成果:

  • 伊朗的收入分配并不总是遵循帕雷托或逻辑正常分布.
  • 一般化的吉布斯-博尔兹曼分布准确地模拟了所有研究年份的伊朗收入分布.
  • 与帕雷托和Lognormal分布相比,一般化的吉布斯-博尔兹曼分布表现出一个优越的匹配.

结论:

  • 广义的吉布斯-博尔兹曼分布是伊朗收入分配的一个强大的模型.
  • 这一发现对经济政策和社会福利分析有影响.
  • 经济物理学为了解国家收入模式提供了有价值的工具.