How are auxiliary variables used in communication studies? What is the relationship between auxiliary variables and indicators of well-being?

... auxiliary variable. The authors derived the expressions for the mean squared error of the proposed estimators up to the first order of approximation. It was ... Nov 10, 2020 ... Title:Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration ... Abstract:Discrete structures play an important role in ... Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, ... Aug 12, 2019 ... I want to iterate over then with an auxiliar variable, like i, because when some condition is met (like EC is different of RG), I want that this iteration go ... The U.S. Geological Survey's Land Change Monitoring, Assessment, and Projection (LCMAP) initiative is a new end-to-end capability to continuously track and ... Whitaker, Salina Wu, "The Combined Impact of Continuous and Ordinal Auxiliary Variables on Missing Data Imputation in SEM" (2021). Electronic Theses and ... Publication. Hoare Logic for NanoJava: Auxiliary Variables, Side Effects and Virtual Methods revisited. Author(s): David von Oheimb, Tobias Nipkow Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... May 4, 2024 ... ... auxiliary variable to estimate the median of the study variable. ... parameter value by estimating its values. This pragmatic approach ... The auxiliary information can be a categorical variable (e.g. the county of the unit), in which case the categories or groups of categories ...