Discuss the use of auxiliary variables in natural language processing.

Whitaker, Salina Wu, "The Combined Impact of Continuous and Ordinal Auxiliary Variables on Missing Data Imputation in SEM" (2021). Electronic Theses and ... Oct 23, 2017 ... We propose a new approach, which we term as scalar auxiliary variable (SAV) approach, to construct efficient and accurate time ... Nov 18, 2022 ... A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling. Auxiliary variable ... Auxiliary variables are used in model assisted surveys to guide the selection of the sample sites. (loosely from Lohr, p. 60-61). ... 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 ... 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 ... Oct 1, 2019 ... Adjustment of the Auxiliary Variable(s) for Estimation of a Finite Population Mean. Language: English. Keywords: model based approach; percent ... Automatically add auxiliary variables to a lavaan model when using full information maximum likelihood (FIML) to handle missing data. Jul 22, 2020 ... Is there a way to introduce “auxiliary variables”, that will not be treated as proper variables but just as definitions? Auxiliary variables. Auxiliary variables are variables that can help to make estimates on incomplete data, while they are not part of the main analysis (Collins ...