Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
The binomial is one of the basic distributions, yet surprisingly common in risk and quant finance. Here I take a look at its key properties and compare the formula to Excel's built in =BINOMDIST()
From playlist Statistics: Distributions
Binomial Distribution and Binomial Random Variables | Probability Mass Function, Probability Theory
What is the binomial distribution and what are binomial random variables? In today’s video probability theory lesson, we give a thorough introduction to the binomial distribution and binomial random variables. We’ll discuss its expected value and variance, and we will go over the probabili
From playlist Probability Theory
03 02 Part 1 of 3 Logistic regression
From playlist Coursera Regression V2
An Introduction to Linear Regression Analysis
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon
From playlist Linear Regression.
EXTRA MATH Lec 6B: Maximum likelihood estimation for the binomial model
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
Generalized Linear Model (Part B)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
Saharon Rosset: "Statistical modeling of mutational processes"
Computational Genomics Summer Institute 2017 Tutorial: "Statistical modeling of mutational processes" Saharon Rosset, Tel Aviv University Institute for Pure and Applied Mathematics, UCLA July 14, 2017 For more information: http://computationalgenomics.bioinformatics.ucla.edu/
From playlist Computational Genomics Summer Institute 2017
Generalized Linear Model (Part A)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
Using binomial expansion to expand a binomial to the fourth degree
👉 Learn how to expand a binomial using binomial expansion. A binomial expression is an algebraic expression with two terms. When a binomial expression is raised to a positive integer exponent, we usually use the binomial expansion technique to easily expand the power. The general formula
From playlist Sequences
Learn to expand a binomial using binomial expansion
👉 Learn how to expand a binomial using binomial expansion. A binomial expression is an algebraic expression with two terms. When a binomial expression is raised to a positive integer exponent, we usually use the binomial expansion technique to easily expand the power. The general formula
From playlist Sequences
Statistical Rethinking Fall 2017 - week07 lecture12
Week 07, lecture 12 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapter 10. Slides are available here: https://speakerdeck.com/rmcelreath Additional information on textbook and R package here: http://xce
From playlist Statistical Rethinking Fall 2017
Statistical Rethinking Fall 2017 - week07 lecture13
Week 07, lecture 13 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapters 10 and 11. Slides are available here: https://speakerdeck.com/rmcelreath/statistical-rethinking-fall-2017-lecture-13 Additional in
From playlist Statistical Rethinking Fall 2017
Statistical Learning: 4.8 Generalized Linear Models
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Statistical Rethinking Winter 2019 Lecture 11
Lecture 11 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. Covers Chapters 10 and 11: maximum entropy, generalized linear models.
From playlist Statistical Rethinking Winter 2019
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]
👉 Learn all about binomial expansion. A binomial expression is an algebraic expression with two terms. When a binomial expression is raised to a positive integer exponent, we usually use the binomial expansion technique to easily expand the power. The general formula for a binomial expans
From playlist Sequences
Jamovi 1.2/1.6 Tutorial: Logistic Regression (Episode 19)
In this Jamovi tutorial, I go through a quick example of a binomial outcome logistic regression. The outcome is dichotomous, rather than continuous, so you have to use logistic regression, and the usual general linear model regression. I discuss the output and go through a quick interpret
From playlist Jamovi Tutorials