Probability distributions with non-finite variance | Continuous distributions

Q-Weibull distribution

In statistics, the q-Weibull distribution is a probability distribution that generalizes the Weibull distribution and the Lomax distribution (Pareto Type II). It is one example of a Tsallis distribution. (Wikipedia).

Q-Weibull distribution
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(ML 7.7.A1) Dirichlet distribution

Definition of the Dirichlet distribution, what it looks like, intuition for what the parameters control, and some statistics: mean, mode, and variance.

From playlist Machine Learning

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The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

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Weibull modulus and probabilistic design

0:00 variation in data, histograms of data, average values, standard deviation 9:00 normal distribution, six sigma 10:31 safety factors in engineering design 13:47 the 2-parameter Weibull equation 16:40 defining failure probability, F 18:40 excel example of calculating Weibull modulus 27:

From playlist Introduction to Materials Science and Engineering Fall 2018

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Non Normal Distributions

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From playlist Probability Distributions

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Inverse normal with Z Table

Determining values of a variable at a particular percentile in a normal distribution

From playlist Unit 2: Normal Distributions

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Statistics: Ch 7 Sample Variability (3 of 14) The Inference of the Sample Distribution

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn if the number of samples is greater than or equal to 25 then: 1) the distribution of the sample means is a normal distr

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From playlist Introduction to Ceramics Spring 2017

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Day 22 Weibull modulus and Probabilistic design

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From playlist Introduction to Materials Science and Engineering Fall 2017

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Introduction to Weibull Modulus and predictive failure analysis

ariability in data standard deviations the weibull equation worked example for strength at specific failure rate scaling from test bars to components using effective area ratios

From playlist Introduction to Materials Science & Engineering Fall 2019

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Weibull modulus and probabilistic design example problem

Using Weibull analysis to do probabilistic failure design. Determining what stress will yield an arbitrarily defined survival or failure rate. Effective area scaling to determine what stress will cause equal failure rates of test bars vs actual components.

From playlist MSE example problems tutorial

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Related pages

Scale parameter | Tsallis entropy | Random variable | Weibull distribution | Tsallis distribution | Heavy-tailed distribution | Gamma function | Lomax distribution | Shape parameter | Real number | Pareto distribution | Probability distribution | Probability density function | Cumulative distribution function | Beta function