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 ...

Vol. 21, No. 1, RES CONFERENCE 2016: SPECIAL ISSUE ON MODEL SELECTION AND INFERENCE (2018), pp. 36-54 (19 pages) In this paper, I investigate the estimation of linear regression models with strictly ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Eric's career includes extensive work in both public and corporate ...

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 ...

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...

In this sense, the proposed method is an extension of the variance of the regression estimator for two-stage sampling. The method is applied to quarterly data from the Labor Force Survey where ...