DISCRETE Random Variables: Finite and Infinite Distributions (9-2)
A Discrete Random Variable is any outcome of a statistical experiment that takes on discrete (i.e., separate and distinct) numerical values. Discrete outcomes: all potential outcomes numerical values are integers (i.e., whole numbers). They cannot be negative. Using an example of tests in
From playlist Discrete Probability Distributions in Statistics (WK 9 - QBA 237)
The Two-Dimensional Discrete Fourier Transform
The two-dimensional discrete Fourier transform (DFT) is the natural extension of the one-dimensional DFT and describes two-dimensional signals like images as a weighted sum of two dimensional sinusoids. Two-dimensional sinusoids have a horizontal frequency component and a vertical frequen
From playlist Fourier
(PP 3.2) Types of Random Variables
(0:00) Discrete random variables. (1:08) Random variables with densities. (3:35) Decomposition into discrete, absolutely continuous, and singular continuous parts. (7:12) Relationship with discrete & density-type random variables. A playlist of the Probability Primer series is avai
From playlist Probability Theory
Probability DISTRIBUTIONS for Discrete Random Variables (9-3)
A Probability Distribution: a mathematical description of (a) all possible outcomes for a random variable, and (b) the probabilities of each outcome occurring. Can be tabular (i.e., frequency table) or graphical (i.e., bar chart or histogram). For a discrete random variable, the underlying
From playlist Discrete Probability Distributions in Statistics (WK 9 - QBA 237)
More Standard Deviation and Variance of Joint Discrete Random Variables
Further example and understanding of Joint Discrete random variables and their standard deviation and variance
From playlist Unit 6 Probability B: Random Variables & Binomial Probability & Counting Techniques
Identifying, symmetric, skewed, uniform, and bell-shaped distributions
From playlist Unit 1: Descriptive Statistics
Analyze Phase In Six Sigma | Six Sigma Green Belt Training
The fourth lesson of the Lean Six Sigma Green Belt Course offered by Simplilearn. This lesson will cover the details of the analyze phase. In the Lean Six Sigma process, you begin with the define phase where you define the problem and then the current process performance is measured. Next
From playlist Six Sigma Training Videos [2022 Updated]
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
Recorded 28 February 2023. Ellen Vitercik of Stanford University presents "Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: On online marketplaces, customers have access to hundreds of r
From playlist 2023 Artificial Intelligence and Discrete Optimization
Domain walls and layers in Ising spin glasses by Martin Weigel
DISCUSSION MEETING INDIAN STATISTICAL PHYSICS COMMUNITY MEETING ORGANIZERS Ranjini Bandyopadhyay, Abhishek Dhar, Kavita Jain, Rahul Pandit, Sanjib Sabhapandit, Samriddhi Sankar Ray and Prerna Sharma DATE: 14 February 2019 to 16 February 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalo
From playlist Indian Statistical Physics Community Meeting 2019
Measure Phase In Six Sigma | Six Sigma Training Videos
🔥 Enrol for FREE Six Sigma Course & Get your Completion Certificate: https://www.simplilearn.com/six-sigma-green-belt-basics-skillup?utm_campaign=SixSigma&utm_medium=DescriptionFirstFold&utm_source=youtube Introduction to Measure Phase: The Measure phase is the second phase in a six sigm
From playlist Six Sigma Training Videos [2022 Updated]
Six Sigma Full Course | Six Sigma Explained | Six Sigma Green Belt Training | Simplilearn
🔥Green Belt Certification Training Course: https://www.simplilearn.com/quality-management/lean-six-sigma-green-belt-training?utm_campaign=SixSigma-KfFez57ay6E&utm_medium=Descriptionff&utm_source=youtube 🔥Post Graduate Program In Lean Six Sigma: https://www.simplilearn.com/pgp-lean-six-sigm
From playlist Simplilearn Free Courses [2022 Updated]
🔥Six Sigma Full Course | Six Sigma Explained | Six Sigma Green Belt Training | 2022 | Simplilearn
🔥Green Belt Certification Training Course: https://www.simplilearn.com/quality-management/lean-six-sigma-green-belt-training?utm_campaign=SixSigmarepeat-byUOQeJ23O4&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Post Graduate Program In Lean Six Sigma: https://www.simplilearn.com/pgp-
From playlist Simplilearn Live
I discuss causal and non-causal noise filters: the moving average filter and the exponentially weighted moving average. I show how to do this filtering in Excel and Python
From playlist Discrete
Marginal triviality of the scaling limits of critical 4D Ising (Lecture 2) by Hugo Duminil-Copin
INFOSYS-ICTS RAMANUJAN LECTURES CRITICAL PHENOMENA THROUGH THE LENS OF THE ISING MODEL SPEAKER: Hugo Duminil-Copin (Institut des Hautes Études Scientifiques, France & University of Geneva, Switzerland) DATE: 09 January 2023 to 13 January 2023 VENUE: Ramanujan Lecture Hall Lecture 1 D
From playlist Infosys-ICTS Ramanujan Lectures
Live CEOing Ep 12: Quantum Computing in the Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Quantum Computing in the Wolfram Language.
From playlist Behind the Scenes in Real-Life Software Design
Discrete Populations Mean, Variance and Standard Deviation
Discrete Populations Mean, Variance and Standard Deviation
From playlist Exam 1 material
Stéphane Nonennmacher - From Fractal Weyl Laws to spectral questions on sparse directed graphs
https://indico.math.cnrs.fr/event/3475/attachments/2180/2563/Nonnenmacher_GomaxSlides.pdf
From playlist Google matrix: fundamentals, applications and beyond