Can auxiliary variables be used in forestry?

Aug 27, 2024 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... While TLA+ properties have a lot of flexibility, they also have limits. You can't “forget” a property, like say “P is true until Q is true, after while P can 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 ... This article introduces a novel estimator known as the neutrosophic ratio-cum-product exponential estimator combining two auxiliary variables, specifically ... The auxiliary information can be a categorical variable (e.g. the county of the unit), in which case the categories or groups of categories ... Different sorts of auxiliary variables variables measured at previous waves, frame variables and paradata - can be used to improve the accuracy of ... Jul 11, 2024 ... A way to evolve this auxiliary state without having it get integrated along with the ODE state. Adding this feature would likely come with some practical and ... Apr 17, 2018 ... I have three ordinal variables relating to public spending preferences that are all strongly correlated. One of them is missing around a 103 observations, ... Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. 10 Dec 2021 · Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin ... Analyzing data with full-information maximum likelihood with auxiliary variables. The techniques used to account for auxiliary variables are both ...