How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
JSTOR Daily

LEAST QUANTILE REGRESSION VIA MODERN OPTIMIZATION

We address the Least Quantile of Squares (LQS) (and in particular the Least Median of Squares) regression problem using modern optimization methods. We propose a Mixed Integer Optimization (MIO) ...
Investopedia

Least Squares Criterion: What it is, How it Works

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
JSTOR Daily

Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 72, No. 1 (Jan., 2010), pp. 3-25 (23 pages) Partial least squares regression has been an alternative to ordinary ...
Nature

Estimation Techniques in Linear Regression Models

Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...