The short course will illustrate how to use JMP in linear regression analysis. The three main topics will be: Exploratory data analysis, simple liner regression and polynomial regression How to fit a ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Winsorization and trimming using stratified and pooled procedures are proposed for linear regression analysis. The regression model assumes an equal number of ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 72, No. 2 (Mar., 2010), pp. 235-251 (17 pages) Competing risks problems arise in many fields of science, where two or ...

Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...