In statistics, the Champernowne distribution is a symmetric, continuous probability distribution, describing random variables that take both positive and negative values. It is a generalization of the logistic distribution that was introduced by D. G. Champernowne. Champernowne developed the distribution to describe the logarithm of income. (Wikipedia).
PMSP - Random-like behavior in deterministic systems - Benjamin Weiss
Benjamin Weiss Einstein Institute of Math, Hebrew University June 16, 2010 For more videos, visit http://video.ias.edu
From playlist Mathematics
A formula for writing all numbers and how to find them all
In this video I go over a formula for writing all numbers, that is, the natural numbers with respect to a given base. In other contexts this formula writes all the words, but in the base 10 case, this formula computes a number known as the Champernowne constant which is a pretty accessible
From playlist The New CHALKboard
Matt Parker talks about numbers - as he often does. His book "Humble Pi" is at: http://bit.ly/Humble_Pi More links & stuff in full description below ↓↓↓ The book on Amazon: https://amzn.to/2NKposg Numberphile podcast is on your podcast player. Or the website is: https://www.numberphile.c
From playlist Matt Parker (standupmaths) on Numberphile
Verónica Becher: Independence of normal words
Abstract : Recall that normality is a elementary form of randomness: an infinite word is normal to a given alphabet if all blocks of symbols of the same length occur in the word with the same asymptotic frequency. We consider a notion of independence on pairs of infinite words formalising
From playlist Logic and Foundations
MegaFavNumber - Champernowne's Big Number
Just thought I'd take advantage of this trend and talk about a undiscussed number. #MegaFavNumbers Here is the number for copy pasting purposes: 457540111931031076483646628242956118599603939710457555000662004393090262659256314937953207747128656313864120937550355209460718308998457580146986
From playlist MegaFavNumbers
http://www.greenpowerscience.com/ DEMONSTRATION MODEL OF A FRESNEL LENS PERFECT FOR FAST DEMOS
From playlist FRESNEL LENS
From playlist STAT 503
What We've Learned from NKS Chapter 4: Systems Based on Numbers
In this episode of "What We've Learned from NKS", Stephen Wolfram is counting down to the 20th anniversary of A New Kind of Science with [another] chapter retrospective. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or th
From playlist Science and Research Livestreams
Indian Railways Best Advertisement
This is one of the Indian Railways Best Advertisement Watch & Share :)
From playlist We are like this only
It's here! Vote vote vote! Everyone can vote! I desperately need votes! Free Music (Beginnings) from: http://music4yourvids.co.uk/
From playlist BAGUETTE
05 Data Analytics: Parametric Distributions
Lecture on parametric distributions, examples and applications. Follow along with the demonstration workflows in Python: o. Interactive visualization of parametric distributions: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/Interactive_ParametricDistributions.ipynb o.
From playlist Data Analytics and Geostatistics
Continuous Distributions: Beta and Dirichlet Distributions
Video Lecture from the course INST 414: Advanced Data Science at UMD's iSchool. Full course information here: http://www.umiacs.umd.edu/~jbg/teaching/INST_414/
From playlist Advanced Data Science
Lecture 10 - Statistical Distributions
This is Lecture 10 of the CSE519 (Data Science) course taught by Professor Steven Skiena [http://www.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: http://www.cs.stonybrook.edu/~skiena/519 More information may be found here: http://www
From playlist CSE519 - Data Science Fall 2016