Compound probability distributions | Continuous distributions
In probability theory and statistics, the normal-exponential-gamma distribution (sometimes called the NEG distribution) is a three-parameter family of continuous probability distributions. It has a location parameter , scale parameter and a shape parameter . (Wikipedia).
From playlist Probability Distributions
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
The Normal Distribution (1 of 3: Introductory definition)
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From playlist The Normal Distribution
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
The Exponential Distribution and Exponential Random Variables | Probability Theory
What is the exponential distribution? This is one of the most common continuous probability distributions. We'll go over an introduction of the exponential distribution and exponentially distributed random variables in today's probability theory video lesson. The exponential distribution
From playlist Probability Theory
How to find the probability 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
How to find the probability 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
Introduction to Exponential Distribution Probabilities
This video introduces the exponential distribution and exponential distribution probabilities. http://mathispower4u.com
From playlist Continuous Random Variables
Exponential Distribution Percentiles
This video explains how to determine percentiles of an exponential distribution. http://mathispower4u.com
From playlist Continuous Random Variables
Introduction to Probability and Statistics 131A. Lecture 4. Joint Distribution
UCI Math 131A: Introduction to Probability and Statistics (Summer 2013) Lec 04. Introduction to Probability and Statistics: Joint Distribution View the complete course: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.
From playlist Math 131A: Introduction to Probability and Statistics
Turbulence as Gibbs Statistics of Vortex Sheets - Alexander Migdal
Workshop on Turbulence Topic: Turbulence as Gibbs Statistics of Vortex Sheets Speaker: Alexander Migdal Affiliation: New York University Date: December 11, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Using stochastic chemical kinetic models to explore... (Lecture - 02) by Mukund Thattai
Winter School on Quantitative Systems Biology DATE:04 December 2017 to 22 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The International Centre for Theoretical Sciences (ICTS) and the Abdus Salam International Centre for Theoretical Physics (ICTP), are organizing a Winter S
From playlist Winter School on Quantitative Systems Biology
39 - The gamma distribution - an introduction
This video provides an introduction to the gamma distribution: describing it mathematically, discussing example situations which can be modelled using a gamma in Bayesian inference, then going on to discuss how its two parameters affect the shape of the distribution intuitively, and finall
From playlist Bayesian statistics: a comprehensive course
Introduction to Probability and Statistics 131A. Lecture 16. Final Review
UCI Math 131A: Introduction to Probability and Statistics (Summer 2013) Lec 16. Introduction to Probability and Statistics: Lecture 16. Final Review View the complete course: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranst
From playlist Math 131A: Introduction to Probability and Statistics
Introduction to Probability and Statistics 131B. Lecture 01.
UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 01. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creativ
From playlist Introduction to Probability and Statistics 131B
Stable Vortex Sheets and Irreversibility of Turbulence - Alexander Migdal
New kinds of vortex sheets with vorticity confined to the boundary layer are proposed and investigated in detail. Exact solutions of the steady Navier-Stokes equations for a planar vortex sheet in arbitrary background strain are found in terms of hypergeometric functions.These solutions ar
From playlist Mathematics
Tom Claeys: Optimal global rigidity estimates in unitary invariant ensembles
A fundamental question in random matrix theory is to understand how much the eigenvalues of a random matrix fluctuate. I will address this question in the context of unitary invariant ensembles, by studying the global rigidity of the eigenvalues, or in other words the maximal deviation of
From playlist Probability and Statistics
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about linear model, generalization, and examples of disease occurring rate, prey capture rate, Kyphosis data, etc.
From playlist MIT 18.650 Statistics for Applications, Fall 2016
Normal Distribution: Mean, Median, Mode, and Standard Deviation From Graph
The video explains how to determine the mean, median, mode and standard deviation from a graph of a normal distribution.
From playlist The Normal Distribution
Petru Constantinescu - On the distribution of modular symbols and cohomology classes
Motivated by a series of conjectures of Mazur, Rubin and Stein, the study of the arithmetic statistics of modular symbols has received a lot of attention in recent years. In this talk, I will highlight several results about the distribution of modular symbols, including their Gaussian dist
From playlist Γcole d'ΓtΓ© 2022 - Cohomology Geometry and Explicit Number Theory