Survival analysis | Continuous distributions
In probability theory and statistics, the poly-Weibull distribution is a continuous probability distribution. The distribution is defined to be that of a random variable defined to be the smallest of a number of statistically independent random variables having non-identical Weibull distributions. (Wikipedia).
What is a Unimodal Distribution?
Quick definition of a unimodal distribution and how it compares to a bimodal distribution and a multimodal distribution.
From playlist Probability Distributions
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
Intro to non normal distributions. Several examples including exponential and Weibull.
From playlist Probability Distributions
What is a bimodal distribution? How to find out if data fits a bimodal.
From playlist Probability Distributions
(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
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
OCR MEI Statistics Minor H: Geometric Distribution: 02 Binomial vs Geometric
https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea
From playlist OCR MEI Statistics Minor H: Geometric Distribution
OCR MEI Statistics 2 2.01 Introducing the Poisson Distribution
Thanks for watching! Please like my new Facebook page https://www.facebook.com/TLMaths-1943955188961592/ to keep you updated with future videos :-)
From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)
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
Mod-17 Lec-45 Mechanical Properties of Ceramic Materials ( Contd.)
Advanced ceramics for strategic applications by Prof. H.S. Maiti,Department of Metallurgy and Material Science,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Advanced Ceramics for Strategic Applications | CosmoLearning.org Materials Science
10/26/2016 Intro to MSE weibull statistics and probabilistic design
Callister Intro to MSE, materials science, Weibull statistics, fracture, failure, probabilistic design, safety factor, standard deviation, variability, six sigma, data extrapolation, failure example, weibull calculation, weibull modulus, characteristic strength, effective area, design of
From playlist Introduction to Materials Science and Engineering Fall 2016
Day 22 Weibull modulus and Probabilistic design
0:00 reading quiz 5:43 polymer creep 6:42 hardness 9:24 variability in data demo 15:00 average values vs standard deviation vs 6sigma 19:54 safety factor and design factor vs probabilistic design 21:40 Weibull modulus 25:25 steps for weibull analysis 30:45 using Weibull analysis to design
From playlist Introduction to Materials Science and Engineering Fall 2017
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
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
Materials Science final exam review
final exam review for introduction to materials science. The review of MSE covers • Vegard's law • solid-solutions • defects caused by aliovalent substitutions • theoretical density • atoms of a particular type in some volume of a crystal • XRD • labeling XRD peaks from specific allow
From playlist Introduction to Materials Science & Engineering Fall 2019
Learn more about programming in MATLAB and how to be more productive with MATLAB. Get a Free MATLAB Trial: https://goo.gl/C2Y9A5 Ready to Buy: https://goo.gl/vsIeA5 Learn more about MATLAB: http://goo.gl/YKadxi MATLAB is a high-level language that includes mathematical functions for so
From playlist MATLAB Virtual Conference 2013
Distribution plots using Plotly for Python
In this tutorial I take a look at distribution plots in Plotly. They actually combine three plots into one. The first being a normal histogram, in which we can state the bin size. The second is a kernel density estimate that can be changed into a normal curve. The last is a rug plot, w
From playlist Data viz using Plotly for Python
Low-x phenomenology (LXPH - Lecture 4) by Raju Venugopalan
PROGRAM THE MYRIAD COLORFUL WAYS OF UNDERSTANDING EXTREME QCD MATTER ORGANIZERS: Ayan Mukhopadhyay, Sayantan Sharma and Ravindran V DATE: 01 April 2019 to 17 April 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Strongly interacting phases of QCD matter at extreme temperature and
From playlist The Myriad Colorful Ways of Understanding Extreme QCD Matter 2019