Can auxiliary variables be used in research on water infrastructure?

Nov 10, 2020 ... Title:Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration ... Abstract:Discrete structures play an important role in ... Also, it was established that estimators that are asymptotically optimum that utilized single auxiliary variable are more efficient than those that are not ... Mar 4, 2025 ... Holmes, C C; Held, L (2006). Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis, 1(1):145-168. 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 ... Percent of Market Untapped is an auxiliary variable that represents a calculation: Potential Customers divided by Total Market Size. Connect the new variables ... auxiliary variable given a set of other Z variables already in an imputation model, similar to the conditional partial R indicators of Schouten et al. (201 ... Nov 18, 2022 ... A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling. Jul 28, 2020 ... The RSS procedure using ranking on auxiliary variable for estimating the ratio-type estimators is described by Koyuncu (2015) as: k2 bivariate ... Dec 30, 2015 ... ... auxiliary variable information. In order to evaluate efficiency of the introduced estimator, we first review some estimators and study the ... 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 ...