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

Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

474
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
474
Applications of Normal Distribution01:22

Applications of Normal Distribution

5.2K
The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
5.2K
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
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

268
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...
268
Normal Distribution01:11

Normal Distribution

11.4K
The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is...
11.4K
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

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

Uniform in Bandwidth Consistency of the <i>L</i><sup>1</sup>-Modal Regression Estimator for High-Dimensional Data.

Entropy (Basel, Switzerland)·2026
Same author

The role of indole acetic acid in modifying morphological features of three Prunus domestica L. cultivars.

Scientific reports·2026
Same author

Transformation-based median estimation under skewed-symmetric distributions with long-memory data applications.

Scientific reports·2026
Same author

Efficient median estimation for stratified multi-population data: health services, medical workforce, and medical education.

BMC medical research methodology·2026
Same author

A length-biased Sujit distribution framework: properties, simulation-based inference, and application to clinical remission data.

Scientific reports·2026
Same author

Properties and inference of the Pareto Lomax distribution with applications to real data.

Scientific reports·2026

相关实验视频

Updated: Jul 19, 2025

Cutting Procedures, Tensile Testing, and Ageing of Flexible Unidirectional Composite Laminates
07:53

Cutting Procedures, Tensile Testing, and Ageing of Flexible Unidirectional Composite Laminates

Published on: April 27, 2019

8.3K

修改的通用维布尔分布:理论和应用.

Mustafa S Shama1,2, Amirah Saeed Alharthi3, Fatimah A Almulhim4

  • 1Department of Basic Sciences, CFY, King Saud University, Riyadh, 12373, Saudi Arabia.

Scientific reports
|August 7, 2023
PubMed
概括
此摘要是机器生成的。

一个新的四参数韦布尔分布有效地模拟了浴形的危险率,用于可靠性和寿命分析. 这种灵活的模型增强了对各种应用程序中故障率的增加和减少的理解.

更多相关视频

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

7.9K
How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

75.4K

相关实验视频

Last Updated: Jul 19, 2025

Cutting Procedures, Tensile Testing, and Ageing of Flexible Unidirectional Composite Laminates
07:53

Cutting Procedures, Tensile Testing, and Ageing of Flexible Unidirectional Composite Laminates

Published on: April 27, 2019

8.3K
Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

7.9K
How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

75.4K

科学领域:

  • 统计 统计 统计 统计
  • 可靠性工程可靠性工程
  • 可能性分布的概率分布.

背景情况:

  • 韦布尔分布是可靠性分析的一个基石.
  • 现有的模型往往难以捕捉复杂的故障率行为,例如浴曲线.
  • 需要灵活的分布来建模各种生命周期数据.

研究的目的:

  • 介绍一个新的四参数修改的韦布尔分布.
  • 开发一个能够模拟浴形危险率的分布.
  • 增强对生命周期和可靠性数据的建模能力.

主要方法:

  • 导出关键的统计属性:量子函数,时刻,时刻生成函数和顺序统计密度.
  • 使用各种既定技术估计模型参数.
  • 通过蒙特卡洛模拟研究评估估计器性能.

主要成果:

  • 拟议的四参数韦布尔分布有效地模拟了浴形的危险率.
  • 该分布包括几个现有的分布作为特殊情况.
  • 模拟研究证明了拟议的估计技术的有效性.

结论:

  • 新修改的韦布尔分布在可靠性和寿命建模方面取得了显著的进步.
  • 该模型的灵活性使其适合分析现实世界的故障时间数据.
  • 拟议的分发为可靠性工程的研究人员和从业人员提供了一个有价值的工具.