Directional statistics | Types of probability distributions | Statistical charts and diagrams
In probability and statistics, a circular distribution or polar distribution is a probability distribution of a random variable whose values are angles, usually taken to be in the range [0, 2Ο). A circular distribution is often a continuous probability distribution, and hence has a probability density, but such distributions can also be discrete, in which case they are called circular lattice distributions. Circular distributions can be used even when the variables concerned are not explicitly angles: the main consideration is that there is not usually any real distinction between events occurring at the lower or upper end of the range, and the division of the range could notionally be made at any point. (Wikipedia).
The Normal Distribution (1 of 3: Introductory definition)
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From playlist The Normal Distribution
Statistics: Introduction to the Shape of a Distribution of a Variable
This video introduces some of the more common shapes of distributions http://mathispower4u.com
From playlist Statistics: Describing Data
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
Distribution, Mean, Median, Mode, Range and Standard Deviation Lesson
This is part 1 of a lesson on describing data.
From playlist The Normal Distribution
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat
From playlist Probability Distributions
Normal Distribution - Harder Questions (1 of 3: Population within given z-scores)
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From playlist The Normal Distribution
Using normal distribution to find the probability
π Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal distribution curve is such that the mean is at the cente
From playlist Statistics
We use the Normal Distribution app on ArtofSat.com to show how to find probabilities and percentiles under the normal distribution. We also use the app to explain how the two parameters mu (the mean) and sigma (the standard deviation) determine the shape of the distribution.
From playlist Chapter 6: 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
The circular law for sparse non-Hermitian random matrices by Anirban Basak
Speaker : Anirban Basak, Weizmann Institute of Science, Israel Date : Tuesday, October 10, 2017 Time : 4:00 PM Venue : Madhava Lecture Hall, ICTS Campus, Bangalore Abstract : Sparse matrices are abundant in statistics, neural network, financial modeling, electrica
From playlist ICTS Colloquia
For the latest information, please visit: http://www.wolfram.com Speaker: Hsien-Ching Kao Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and more.
From playlist Wolfram Technology Conference 2015
Some inter-relations between random matrix ensembles - Peter Forrester
Peter Forrester University of Melbourne October 16, 2013 In the early 1960's Dyson and Mehta found that the CSE relates to the COE. I'll discuss generalizations as well as other settings in random matrix theory in which Ξ² relates to 4/Ξ². For more videos, visit http://video.ias.edu
From playlist Mathematics
Uniform random dots distribution across a disc - the Maths behind
Live demos: a) line segment, circle & rectangle random distributions https://codepen.io/thebabydino/pen/NWazdyL b) random uniform disc distribution: incorrect vs. correct https://codepen.io/thebabydino/pen/ExwRZQj If the work I've been putting out since early 2012 has helped you in any wa
From playlist Basic Tips & Tricks
Edge behavior of deformed Wigner matrices - Kevin Schnelli
Kevin Schnelli Harvard University; Member, School of Mathematics September 25, 2013 For more videos, visit http://video.ias.edu
From playlist Mathematics
Generate uniform random distribution within a circle using Python π π€ π’
In this micro tutorial, we explain how to generate uniformly distributed random numbers within a circle with radius R using Python. First, the algorithm and reopenings are given followed by simple Python implementation. The Python implementation using the random module to generate uniform
From playlist Engineering Animations
Teach Astronomy - Solar Nebula
http://www.teachastronomy.com/ The gravitational collapse of an initially large and diffuse gas cloud is slowed by the increasing pressure force as the density rises. Eventually, a stable configuration is reached with a disk-like distribution of gas and dust around the forming Sun. This
From playlist 12. Formation and Nature of Planetary Systems
Inertial Active Dynamics and Some of Itβs Interesting Features by Mamata Sahoo
DISCUSSION MEETING 8TH INDIAN STATISTICAL PHYSICS COMMUNITY MEETING ORGANIZERS: Ranjini Bandyopadhyay (RRI, India), Abhishek Dhar (ICTS-TIFR, India), Kavita Jain (JNCASR, India), Rahul Pandit (IISc, India), Samriddhi Sankar Ray (ICTS-TIFR, India), Sanjib Sabhapandit (RRI, India) and Prer
From playlist 8th Indian Statistical Physics Community Meeting-ispcm 2023
Find the probability of an event using a normal distribution curve
π Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal distribution curve is such that the mean is at the cente
From playlist Statistics
Deep Learning Approaches in Inverse Problems (Lecture 2) by Deep Ray
DISCUSSION MEETING WORKSHOP ON INVERSE PROBLEMS AND RELATED TOPICS (ONLINE) ORGANIZERS: Rakesh (University of Delaware, USA) and Venkateswaran P Krishnan (TIFR-CAM, India) DATE: 25 October 2021 to 29 October 2021 VENUE: Online This week-long program will consist of several lectures by
From playlist Workshop on Inverse Problems and Related Topics (Online)