Moment (mathematics) | Statistical deviation and dispersion
In probability theory and statistics, a central moment is a moment of a probability distribution of a random variable about the random variable's mean; that is, it is the expected value of a specified integer power of the deviation of the random variable from the mean. The various moments form one set of values by which the properties of a probability distribution can be usefully characterized. Central moments are used in preference to ordinary moments, computed in terms of deviations from the mean instead of from zero, because the higher-order central moments relate only to the spread and shape of the distribution, rather than also to its location. Sets of central moments can be defined for both univariate and multivariate distributions. (Wikipedia).
Physics - Mechanics: Moment of Inertia (1 of 6) Introductory Concept
Visit http://ilectureonline.com for more math and science lectures! In this first of the six-part video I will introduce the concept of moment of inertia, later I will derive equations and solve problems of moment of inertia.
From playlist PHYSICS 12 MOMENT OF INERTIA
Worldwide Calculus: Centers of Mass and Moments
Lecture on 'Centers of Mass and Moments' from 'Worldwide Integral Calculus'. For more lecture videos and $10 digital textbooks, visit www.centerofmath.org.
From playlist Applications of Integration
Moments of inertia example: double integrals
Free ebook http://tinyurl.com/EngMathYT How to calculate moments of inertia using double integrals. An example is presented illustrating the ideas.
From playlist Engineering Mathematics
Physics - Mechanics: Moment of Inertia (1 of 7) Parallel Axis Theorem: Example 1
Visit http://ilectureonline.com for more math and science lectures! In this video I will find the moment of inertia of 2 spheres connected by a rod rotated about the center of the rod. Next video in the moment of inertia series: http://youtu.be/swi7U6Q9pF0
From playlist PHYSICS 12 MOMENT OF INERTIA
Differential Equations | Applications of Second Order DEs: Central Force
We use a second order differential equation to describe the motion of an object under the influence of a central force. http://www.michael-penn.net
From playlist Differential Equations
Moments and Center of Mass 1 - Point Masses on a Line
Calculus: We define the moment of a point mass about a point P and extend the definition for a system of point masses about the origin. The center of mass is then defined and we explain the physical significance in terms of doors and see-saws.
From playlist Calculus Pt 4: Applied Integration
Mechanical Engineering: Rigid Bodies & Sys of Forces (10 of 47) Moment of a Force (Torque)
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is a moment of a force (or torque). Next video in the Rigid Bodies and System of Forces series can be seen at: http://youtu.be/6nxRP6j5Agw
From playlist MECHANICAL ENGINEERING 2 - MOMENT OF A FORCE
Center of Mass in a 1 and 2 Dimensional System
If you'd like to make a donation to support my efforts look for the "Tip the Teacher" button on my channel's homepage www.YouTube.com/Profrobbob In this lesson I define and discuss the difference between Mass and Force, Moment about the origin in a 1 dimensional system, Moment about the x
From playlist Calculus 2
The skew (and sample skew) of a distribution (FRM T2-6)
The skew is the third central moment divided by the cube of the standard deviation. Here I calculate skew using the binomial distribution. Discuss this video here in our FRM forum! https://trtl.bz/2Jrg0HP Subscribe here https://www.youtube.com/c/bionicturtle?sub-confirmation=1 to be notif
From playlist Quantitative Analysis (FRM Topic 2)
FRM: Distribution moments (mean, variance, skew, kurtosis)
Here is the spreadsheet I used @ http://db.tt/bziK312h. The four central moments of a distribution are mean (1st), variance, skew and kurtosis. They tell us quickly about the personality of the distribution. For more financial risk videos, visit our website! http://www.bionicturtle.com.
From playlist Operational Risk Analytics
04 Data Analytics: Univariate Statistics
Lecture on univariate statistics related to distribution central tendency, dispersion and shape. Follow along with the demonstration workflow in Python: o. Examples of calculating univariate statistics: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/PythonDataBasics_Univ
From playlist Data Analytics and Geostatistics
Ana Balibanu: The partial compactification of the universal centralizer
Abstract: Let G be a semisimple algebraic group of adjoint type. The universal centralizer is the family of centralizers in G of regular elements in Lie(G), parametrized by their conjugacy classes. It has a natural symplectic structure, obtained by Hamiltonian reduction from the cotangent
From playlist Algebra
Electron Geometry, Molecular Geometry & Polarity
In this live tutoring session I focused on electron geometry, molecular geometry & polarity. Enjoy! 📗 FREE CHEMISTRY SURVIVAL GUIDE https://melissa.help/freechemguide 👉 SHOP MY CHEMISTRY RESOURCES 👈 https://melissamaribel.com/ -Naming Compounds Flashcards https://melissa.help/namingflas
From playlist Live Chemistry Tutoring
6. Maximum Likelihood Estimation (cont.) and the Method of Moments
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 continued on maximum likelihood estimators and talked about Weierstrass Approximation Theorem (WAT), and statistical appli
From playlist MIT 18.650 Statistics for Applications, Fall 2016
Moments, Torques and Levers - A Level Physics
An A Level Physics revision video covering Moments, Torques and Levers
From playlist A Level Physics Revision
Rare events in fat-tailed systems by Eli Barkai
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
Real Lagrangian Tori in toric symplectic manifolds - Joé Brendel
IAS/PU-Montreal-Paris-Tel-Aviv Symplectic Geometry Topic: Real Lagrangian Tori in toric symplectic manifolds Speaker:Joé Brendel Affiliation: University of Neuchâte Date: June 4, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Moments and bounds for L-functions of large degree - Paul Nelson
50 Years of Number Theory and Random Matrix Theory Conference Topic: Moments and bounds for L-functions of large degree Speaker: Paul Nelson Affiliation: IAS Member, School of Mathematics June 24, 2022 We will discuss recent results concerning the problem of establishing rigorous moment
From playlist Mathematics
Kurtosis of a probability distribution (FRM T2-7)
[Here is my xls http://trtl.bz/121817-yt-kurtosis-xls] Kurtosis is the standardized fourth central moment and is a measure of tail density; e.g., heavy or fat-tails. Heavy-tailedness also tends to correspond to high peakedness. Excess kurtosis (aka, leptokurtosis) is given by (kurtosis-3).
From playlist Quantitative Analysis (FRM Topic 2)
Introduction to Moments | Statics
https://goo.gl/1wkFDL for more FREE video tutorials covering Engineering Mechanics (Statics & Dynamics) The objective of this video is to clear the moment concept followed by a workout on simple moment calculation. First of all, the video gives the definition of moment stating that moment
From playlist SpoonFeedMe: Engineering Mechanics (Statics & Dynamics)