Defining and Estimating Intervention Effects for Groups that will Develop an Auxiliary Outcome [PDF]
, 2007 It has recently become popular to define treatment effects for subsets of the target population characterized by variables not observable at the time a treatment decision is made.
Hsu, Chi-Yuan +2 more
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Estimation of finite population mean under PPS in presence of maximum and minimum values
AIMS Mathematics, 2021 This article deals with the estimation of the finite population mean under probability proportional to size (PPS) sampling using information on the auxiliary variable along with the rank of the auxiliary variable.
Sanaa Al-Marzouki +8 more
doaj
On Source Coding with Coded Side Information for a Binary Source with Binary Side Information [PDF]
, 2007 The lossless rate region for the coded side information problem is "solved," but its solution is expressed in terms of an auxiliary random variable. As a result, finding the rate region for any fixed example requires an optimization over a family of ...
Effros, Michelle +3 more
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, 2017 Auxiliary variables are often needed for verifying that an implementation is correct with respect to a higher-level specification. They augment the formal description of the implementation without changing its semantics–that is, the set of behaviors that it describes.
Lamport, Leslie, Merz, Stephan
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Multiple Auxiliary Variables in Nonresponse Adjustment
Sociological Methods & Research, 2011 Prior work has shown that effective survey nonresponse adjustment variables should be highly correlated with both the propensity to respond to a survey and the survey variables of interest. In practice, propensity models are often used for nonresponse adjustment with multiple auxiliary variables as predictors.
Kreuter, Frauke, Olson, Kristen
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Use of an efficient unbiased estimator for finite population mean.
PLoS ONE, 2022 In this study, we propose an improved unbiased estimator in estimating the finite population mean using a single auxiliary variable and rank of the auxiliary variable by adopting the Hartley-Ross procedure when some parameters of the auxiliary variable ...
Javid Shabbir, Ronald Onyango
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Classes of combined population mean estimators utilizing transformed variables under double sampling with application to air pollution in Chiang Rai, Thailand [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 The transformation method can be used to increase the efficiency of the variable of interest for estimating population mean. Two classes of combined population mean estimators utilizing transformation on an auxiliary variable and on both an auxiliary ...
Natthapat Thongsak, Nuanpan Lawson
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On Bayesian Curve Fitting via Auxiliary Variables [PDF]
Journal of Computational and Graphical Statistics, 2010 In this article we revisit the auxiliary variable method introduced in Smith and kohn (1996) for the fitting of P-th order spline regression models with an unknown number of knot points. We introduce modifications which allow the location of knot points to be random, and we further consider an extension of the method to handle models with non-Gaussian ...
Fan, Y. +2 more
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Machine learning for percolation utilizing auxiliary Ising variables [PDF]
Physical Review E, 2022 10 pages, 8 ...
Junyin Zhang +4 more
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Dexterous Estimation of Population Mean in Survey Sampling Under Non-Response Error [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 In this scripture, we ponder the problem of efficient estimation of population mean of study variable utilizing information on highly correlated auxiliary variables under the presence of non-response on either of the variables.
S. K. Yadav, O. P. Yadav, D. K. Yadav
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