GLM - Multinomial Regression (3/3) - Ordinal Data (Cumulative Link) скачать в хорошем качестве

GLM - Multinomial Regression (3/3) - Ordinal Data (Cumulative Link)

In this video we will go in depth about ordinal response (y) data and see how we can model it using the cumulative link approach. Alan Agresti's Book: https://www.amazon.com/Foundations-Li... Gordon Smyth's paper: https://gksmyth.github.io/pubs/edm-gn... Become a member and get full access to this online course: https://meerkatstatistics.com/courses... “GLM in R” Course Outline: Administration Administration Up to Scratch Notebook – Introduction Notebook – Linear Models Notebook – Intro to R Generalized Least Squares Intro to GLM’s Linear Models vs. Generalized Linear Models Least Squares vs. Maximum Likelihood Saturated vs. Constrained Model Link Functions Exponential Family Definition and Examples More Examples Notebook – Exponential Family Mean and Variance Notebook – Mean-Variance Relationship Deviance Deviance Notebook – Deviance Likelihood Analysis Likelihood Analysis Numerical Solution Notebook – GLM’s in R Notebook – Fitting the GLM Inference Code Examples: Notebook – Binary/Binomial Regression Notebook – Poisson & Negative Binomial Regression Notebook – Gamma & Inverse Gaussian Regression Advanced Topics: Quasi-Likelihood Generalized Estimating Equations (GEE) Mixed Models (GLMM) Regular vs. Mixed Models Conditional Logistic Regression Multinomial Regression Intro Nominal Data - Baseline Category Ordinal Data - Cumulative Link Diagnostics Linear Regression Diagnostics Generalized Linear Model Diagnostics Multicollinearity and VIF GAMs GLMs vs. GAMs Splines - Intro Natural Cubic Splines and Smoothing Splines Penalized Least Squares Why become a member? All video content Extra material (notebooks) Access to code and notes Community Discussion No Ads Support the Creator ❤️ GLM (restricted) playlist: https://bit.ly/2ZMSv4U If you’re looking for statistical consultation, someone to work on interesting projects, or training workshops, visit my website https://meerkatstatistics.com/ or contact me directly at david@meerkatstatistics.com ~~~~~ SUPPORT ~~~~~ Paypal me: https://paypal.me/MeerkatStatistics ~~~~~~~~~~~~~~~~~