We present estimators for a well studied statistical estimation problem: the estimation for the linear regression model with soft sparsity constraints (l q constraint with 0 < q ≤ 1) in the ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Brazilian Journal of Probability and Statistics, Vol. 16, No. 1 (june 2002), pp. 39-46 (8 pages) The effects of measurement errors on usual linear regression estimator are examined. A comparative ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

This article develops five regression models to estimate pipeline construction component costs for different types of pipelines in different regions. Researchers have long used historical pipeline ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

Advisory Alert: It has come to our attention that certain individuals are representing themselves as affiliates of Moneycontrol and soliciting funds on the false promise of assured returns on their ...