We review recent results for high-dimensional sparse linear regression in the practical case of unknown variance. Different sparsity settings are covered, including coordinate-sparsity, group-sparsity ...

This paper provides ANOVA inference for nonparametric local polynomial regression (LPR) in analogy with ANOVA tools for the classical linear regression model. A surprisingly simple and exact local ...

When contextual features of test-taking environments differentially affect item responding for different test-takers and these features vary across test administrations, they may cause differential ...

Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

The first step in running regression analysis in Excel is to double-check that the free plugin Data Analysis ToolPak is installed. This plugin makes calculating a range of statistics very easy. It is ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Managed Care have been presented. According to news reporting originating from Aurora, Colorado, by NewsRx ...