How do auxiliary variables contribute to the precision of small area estimates? Discuss the use of auxiliary variables in poverty mapping.

May 22, 2018 ... We propose a general framework for nonlinear ICA, which, as a special case, can make use of temporal structure. It is based on augmenting the data by an ... 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 ... Nov 18, 2022 ... A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling. Whitaker, Salina Wu, "The Combined Impact of Continuous and Ordinal Auxiliary Variables on Missing Data Imputation in SEM" (2021). Electronic Theses and ... Aug 12, 2019 ... I want to iterate over then with an auxiliar variable, like i, because when some condition is met (like EC is different of RG), I want that this iteration go ... The likelihood function is adjusted so that incomplete observations are used in estimation. Implemented in Stata's sem command with the method(mlmv) option. Analyzing People's Media Use Behaviors Using Mail Survey Method Zhang, Xiaoqun January 3, 2018 Case Studies of Research: Small & Medium Sized Enterprises ... auxiliary variables. The variational principle contains a trial Hamiltonian H′ in an extended Hilbert space. For H′ equal to its optimal value H, the ... 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 ... Auxiliary Variable xi is value of an auxiliary variable for unit i. Assume µ(x), the population mean of x is known and we observe yi and xi for all the ...