Robust statistics | Robust regression
Least trimmed squares (LTS), or least trimmed sum of squares, is a robust statistical method that fits a function to a set of data whilst not being unduly affected by the presence of outliers. It is one of a number of methods for robust regression. (Wikipedia).
Basic Math - Front end rounding
This video explains what front end rounding is and how to apply it to a couple of examples. Remember this works like normal rounding except we always round to the largest place value. For more videos visit http://www.mysecretmathtutor.com
From playlist Basic Math
EXTRA MATH 11B: Finding the least squares estimates
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
Q2 - Decimal ordering, place value
From playlist 8M2
Ex 2: Determine the Least Common Multiple Using a Fraction Wall or Rods
This video explains how to determine the least common multiple of two whole numbers using a fraction wall or rods. Site: http://mathispower4u.com
From playlist Factors, LCM, and GCF of Whole Numbers
The Least Squares Formula: A Derivation
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 4 Linear Algebra: Inner Products
Least Squares Regression Line on Calculator
I recently uploaded 200 videos that are much more concise with excellent graphics. Click the link in the upper right-hand corner of this video. It will take you to my youtube channel where videos are arranged in playlists. In this older video: How to use the TI-84 to enter data, calcul
From playlist Older Statistics Videos and Other Math Videos
Least squares method for simple linear regression
In this video I show you how to derive the equations for the coefficients of the simple linear regression line. The least squares method for the simple linear regression line, requires the calculation of the intercept and the slope, commonly written as beta-sub-zero and beta-sub-one. Deriv
From playlist Machine learning
Integers : Arranging Integers from Smallest to Largest on Number Line
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Integers : Arranging Integers from Smallest to Largest on Number Line. Here we look at arranging some integers from smallest to largest on a number line.
From playlist All Videos - Part 1
DSI | Simultaneous Feature Selection and Outlier Detection Using Mixed-Integer Programming
Simultaneous Feature Selection and Outlier Detection Using Mixed-Integer Programming with Optimality Guarantees Biomedical research is increasingly data rich, with studies comprising ever growing numbers of features. The larger a study, the higher the likelihood that a substantial portion
From playlist DSI Virtual Seminar Series
25. Structure of set addition V: additive energy and Balog-Szemerédi-Gowers theorem
MIT 18.217 Graph Theory and Additive Combinatorics, Fall 2019 Instructor: Yufei Zhao View the complete course: https://ocw.mit.edu/18-217F19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62qauV_CpT1zKaGG_Vj5igX Additive energy is a measure of additive structure. Prof.
From playlist MIT 18.217 Graph Theory and Additive Combinatorics, Fall 2019
Gábor Lugosi: High-dimensional mean estimation - lecture 2
Recorded during the meeting "Machine learning and nonparametric statistics" the December 15, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audio
From playlist Probability and Statistics
Trimming and Linearization, Part 2: The Practical Side of Linearization
With a general understanding of linearization, you might run into a few snags when trying to linearize realistic nonlinear models. These snags can be avoided if you have a more practical understanding of how linearization is accomplished, and that’s what we’ll cover in this video. - Learn
From playlist Trimming and Linearization
Trimming and Linearization, Part 1: What Is Linearization?
Why go through the trouble of linearizing a model? To paraphrase Richard Feynman, it’s because we know how to solve linear systems. With a linear model we can more easily design a controller, assess stability, and understand the system dynamics. - Learn about linearization for model analys
From playlist Trimming and Linearization
Live CEOing Ep 692: Language Design in Wolfram Language [Echo functions and More]
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and features to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram
From playlist Behind the Scenes in Real-Life Software Design
Linearizing a Simulink Model Using the Linear Analysis Tool and ‘linmod’
In this video we show how to linearize a non-linear Simulink model using numerical techniques. This approach is extremely powerful as it allows automatic generation of linear models of a complicated model about different trim/operating points. We investigate how to linearize using the Li
From playlist Working with Matlab
Trimming a Model of a Dynamic System Using Numerical Optimization
In this video we show how to find a trim point of a dynamic system using numerical optimization techniques. We generate a cost function that corresponds to a straight and level flight condition and then use Matlab’s ‘fminsearch’ to solve the unconstrained optimization problem to find stat
From playlist Flight Mechanics
GMAT: Math 21 | Problem solving | GMAT | Khan Academy
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/test-prep/gmat/gmat-unit/problem-solving/v/gmat-math-21 110-114, pgs. 166-167. Created by Sal Khan. Watch the next lesson: https://www.khanacademy.org/test-prep/gmat/
From playlist Problem solving | GMAT | Khan Academy
Pt 5 tubalcain BUILDS A MODEL DYNAMO for a Steam Engine
A 7 part series where I make a model generator to be driven by one of my steam engines. WATCH ALL 650 OF MY SHOP VIDEOS. SUBSCRIBE! www.mrpete222.com
From playlist MODEL DYNAMO BUILD
Lower Bounds, Upper Bounds and Error Intervals
"Calculate the upper and lower bound of rounded values or identify an error interval."
From playlist Number: Rounding & Estimation