How do auxiliary variables relate to benchmarking in statistical surveys?

Nov 18, 2022 ... A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling. Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Dec 18, 2017 ... You cannot change the values of auxiliaries. The best thing to do is split the parameter into it's parts. Feb 9, 2021 ... ... auxiliary variables in terms of the CPU seconds and number of iterations. aux denotes auxiliary variable(s). Full size table. In the cases ... Nov 10, 2020 ... Title:Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration ... Abstract:Discrete structures play an important role in ... May 22, 2018 ... We propose a general framework for nonlinear ICA, which, as a special case, can make use of temporal structure. It is based on augmenting the data by an ... variable of interest Y, using the ranking variable X as an auxiliary variable when the population mean µx is unknown. The proposed estimators fare better ... Jan 8, 2025 ... Auxiliary Variable: Additional variables that are added to a linear programming problem that allow the use of logic that otherwise would not be ... Good auxiliary variables can also be correlates or predictors of missingness. Let's create a set of missing data flags for each variable to be imputed. We will ... Also, it was established that estimators that are asymptotically optimum that utilized single auxiliary variable are more efficient than those that are not ...