On Source Coding with Coded Side Information for a Binary Source with Binary Side Information [PDF]
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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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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Classes of combined population mean estimators utilizing transformed variables under double sampling with application to air pollution in Chiang Rai, Thailand [PDF]
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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Dexterous Estimation of Population Mean in Survey Sampling Under Non-Response Error [PDF]
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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Modified Estimator of Finite Population Variance under Stratified Random Sampling
This paper proposes a generalized estimator of finite population variance using the auxiliary information under stratified random sampling. The expressions for bias and mean square error equations of the proposed estimator up to the first degree of ...
Yahaya Zakari, Isah Muhammad
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Multiple Auxiliary Variables in Nonresponse Adjustment
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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On Bayesian Curve Fitting via Auxiliary Variables [PDF]
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]
10 pages, 8 ...
Junyin Zhang +4 more
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Scalar auxiliary variable approache for the surface quasi-geostrophic equation
We present a numerical method for approximating the two-dimensional surface quasi-geostrophic equation. We first reformulate the equation into an equivalent system by using the scalar auxiliary variable approach.
Shengtao Shi, Fangying Song
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Estimation of Finite Population Ratio When Other Auxiliary Variables are Available in the Study
The estimation of the population total $t_y,$ by using one or more auxiliary variables, and the population ratio $\theta_{xy}=t_y/t_x,$ $t_x$ is the population total for the auxiliary variable $X$, for a finite population are heavily discussed in the ...
Jehad Al-Jararha, Ala' Bataineh
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