Discuss the use of auxiliary variables in research on resilience and coping mechanisms.

Nov 10, 2020 ... Title:Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration ... Abstract:Discrete structures play an important role in ... Nov 18, 2022 ... A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling. of a study variable in two-phase sampling. These estimators utilize the information about extreme values and ranks of an auxiliary variable. Through a first ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be incomplete. Feb 19, 2016 ... If you have a function z = f(x, y), it may be helpful to introduce a temporary variable u to work with. Example: if z = (sin(x) + cos(y))3 and ... May 4, 2024 ... ... auxiliary variable to estimate the median of the study variable. ... parameter value by estimating its values. This pragmatic approach ... The likelihood function is adjusted so that incomplete observations are used in estimation. Implemented in Stata's sem command with the method(mlmv) option. Auxiliary-variable Exact Hamiltonian Monte. Carlo Samplers for Binary Distributions. Ari Pakman and Liam Paninski. Department of Statistics. Center for ... ... auxiliary variables of a calibration model, no matter how complex the model is. Lastly, as a third strong point, the totals estimated by aux.estimates will ... The data in the auxiliary file is primarily imputed from other datasets including the Medical Expenditure Panel Survey Household Component (MEPS-HC), Medical ...