Can auxiliary variables be used in research on sustainable futures?

Mar 4, 2025 ... Holmes, C C; Held, L (2006). Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis, 1(1):145-168. Analyzing People's Media Use Behaviors Using Mail Survey Method Zhang, Xiaoqun January 3, 2018 Case Studies of Research: Small & Medium Sized Enterprises ... 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 ... In the first part we describe a simple technique using joint updating that improves the performance of the conventional probit regression algorithm. In the ... Aug 27, 2024 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... . The variables in Y are called auxiliary variables. An auxiliary variable y is called dependent if and only if in the first item above all extensions a0 ... Apr 23, 2018 ... The current study provides an overview of systematic approaches that allows researchers to investigate models involving moderation, conditional effects on ... A new dependent variable that is not part of the physics interface is used, right-click either of these nodes to add an Auxiliary Dependent Variable subnode. 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 ... Dec 30, 2015 ... ... auxiliary variable information. In order to evaluate efficiency of the introduced estimator, we first review some estimators and study the ...