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 ...
Large Sample Theory of a Modified Buckley-James Estimator for Regression Analysis with Censored Data
The Annals of Statistics, Vol. 19, No. 3 (Sep., 1991), pp. 1370-1402 (33 pages) Buckley and James proposed an extension of the classical least squares estimator to the censored regression model. It ...
Winsorization and trimming using stratified and pooled procedures are proposed for linear regression analysis. The regression model assumes an equal number of ...
isixsigma on MSN
The Importance of Non-Parametric Tests in Statistical Analysis
Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...
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