Descriptive statistics | Effect size
In statistics, the strictly standardized mean difference (SSMD) is a measure of effect size. It is the mean divided by the standard deviation of a difference between two random values each from one of two groups. It was initially proposed for quality controland hit selectionin high-throughput screening (HTS) and has become a statistical parameter measuring effect sizes for the comparison of any two groups with random values. (Wikipedia).
What is the difference between theoretical and experimental physics?
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From playlist Science Unplugged: Physics
The Difference Between an Expression and an Equation
This video explains the difference between an expression and an equation. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Introduction to Linear Equations in One Variable
This video introduces similarity and explains how to determine if two figures are similar or not. http://mathispower4u.com
From playlist Number Sense - Decimals, Percents, and Ratios
Molecular and Empirical Formulas
Introduction to molecular and empirical formulas. Calculating molecular mass. More free lessons at: http://www.khanacademy.org/video?v=gfBcM3uvWfs
From playlist Chemistry
Absolute versus relative measurements in geometry | Rational Geometry Math Foundations 134
In science and ordinary life, the distinction between absolute and relative measurements is very useful. It turns out that in mathematics this is also an important distinction. We must be prepared that some aspects of mathematics are more naturally measured relatively, rather than absolute
From playlist Math Foundations
What’s the difference between a scientific law and theory? - Matt Anticole
View full lesson: http://ed.ted.com/lessons/what-s-the-difference-between-a-scientific-law-and-theory-matt-anticole Chat with a friend about an established scientific theory, and she might reply, “Well, that’s just a theory.” But a conversation about an established scientific law rarely e
From playlist New TED-Ed Originals
Dimensions (1 of 3: The Traditional Definition - Directions)
More resources available at www.misterwootube.com
From playlist Exploring Mathematics: Fractals
Formal Geometry Proofs (1 of 3: What does it mean to "prove" something?)
More resources available at www.misterwootube.com
From playlist Further Properties of Geometrical Figures
Strict monotonicity of principal eigenvalues of elliptic operators in Rd and... by Subhamay Saha
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
Stephan Tillmann: On the space of properly convex projective structures
SMRI Seminar: Stephan Tillmann (University of Sydney) This talk will be in two parts. I will outline joint work with Daryl Cooper concerning the space of holonomies of properly convex real projective structures on manifolds whose fundamental group satisfies a few natural properties. This
From playlist SMRI Seminars
3D convex contact forms and the Ruelle invariant - Oliver Edtmair
Joint IAS/Princeton/Montreal/Paris/Tel-Aviv Symplectic Geometry Topic: 3D convex contact forms and the Ruelle invariant Speaker: Oliver Edtmair Affiliation: Berkeley Date: January 29, 2021 For more video please visit http://video.ias.edu
From playlist Mathematics
Singular Learning Theory - Seminar 3 - Neural networks and the Bayesian posterior
This seminar series is an introduction to Watanabe's Singular Learning Theory, a theory about algebraic geometry and statistical learning theory. In this seminar Liam Carroll explains free energy, feedforward neural networks and the role of the Bayesian posterior, and shows some plots of p
From playlist Metauni
Frank den Hollander: Annealed scaling for a charged polymer
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Probability and Statistics
Linear Programming, Lecture 8. Examples of Simplex method; Tableau; LP Assistant
Sept 15, 2016. Penn State University.
From playlist Math484, Linear Programming, fall 2016
Volatility: standard deviation (FRM T2-21)
[Here is my xls at https://trtl.bz/2kOmHb6] The simple, common approach to estimating volatility is historical standard deviation. Here is a thread about the decision to include/exclude the mean return: https://trtl.bz/2kLRK7z. Discuss this video here in our forum: https://trtl.bz/2HMhjk2
From playlist Quantitative Analysis (FRM Topic 2)
Bourgain–Delbaen ℒ_∞-spaces and the scalar-plus-compact property – R. Haydon & S. Argyros – ICM2018
Analysis and Operator Algebras Invited Lecture 8.16 Bourgain–Delbaen ℒ_∞-spaces, the scalar-plus-compact property and related problems Richard Haydon & Spiros Argyros Abstract: We outline a general method of constructing ℒ_∞-spaces, based on the ideas of Bourgain and Delbaen, showing how
From playlist Analysis & Operator Algebras
2022 10 Dan Coman: Extension of quasiplurisubharmonic functions
CONFERENCE Recording during the thematic meeting : "Complex Geometry, Dynamical Sytems and Foliation Theory" the October 20, 2022 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Jean Petit Find this video and other talks given by worldwide mathemat
From playlist Analysis and its Applications
Laurent Fargues - Courbes et fibrés vectoriels en théorie de Hodge p-adique
Courbes et fibrés vectoriels en théorie de Hodge p-adique
From playlist 28ème Journées Arithmétiques 2013
Learn about the geometric mean of numbers. The geometric mean of n numbers is the nth root of the product of the numbers. To find the geometric mean of n numbers, we first multiply the numbers and then take the nth root of the product.
From playlist Geometry - GEOMETRIC MEAN