Improvement in variance estimation using transformed auxiliary variable under simple random sampling. [PDF]
Sci RepThis paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed.
Ali H +4 more
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Auxiliary variable-enriched biomarker-stratified design. [PDF]
Stat Med, 2018 Clinical trials in the era of precision medicine require assessment of biomarkers to identify appropriate subgroups of patients for targeted therapy. In a biomarker‐stratified design (BSD), biomarkers are measured on all patients and used as stratification variables.
Wang T +4 more
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Ratio estimators of population means using quartile function of auxiliary variable using double sampling [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2019 Ratio estimators have been used in survey sampling for estimating population mean when the population mean of an auxiliary variable is known. However, as the auxiliary information is not always available we cannot gain any benefit from using ratio ...
Nuanpan Lawson
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Scalar auxiliary variable approache for the surface quasi-geostrophic equation
Journal of Algorithms & Computational Technology, 2023 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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Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias. [PDF]
Front Epidemiol, 2023 Epidemiological studies often have missing data, which are commonly handled by multiple imputation (MI). In MI, in addition to those required for the substantive analysis, imputation models often include other variables (“auxiliary variables”). Auxiliary
Curnow E +4 more
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A convergent stochastic scalar auxiliary variable method
IMA Journal of Numerical AnalysisAbstract We discuss an extension of the scalar auxiliary variable approach, which was originally introduced by Shen et al. (2018, The scalar auxiliary variable (SAV) approach for gradient flows. J. Comput. Phys., 353, 407–416) for the discretization of deterministic gradient flows.
Metzger, Stefan
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Two-stage sampling in the estimation of growth parameters and percentile norms: sample weights versus auxiliary variable estimation. [PDF]
BMC Med Res Methodol, 2021 Background The use of auxiliary variables with maximum likelihood parameter estimation for surveys that miss data by design is not a widespread approach, despite its documented improved efficiency over traditional approaches that deploy sampling weights.
Vamvakas G, Norbury C, Pickles A.
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Variance Estimation in the Presence of Measurement Errors Under Stratified Random Sampling
Revstat Statistical Journal, 2021 This study focuses on the estimation of population variance of study variable in stratified random sampling using auxiliary information when the observations are contaminated by measurement errors.
Neha Singh +2 more
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An optimal estimation approach in non-response under simple random sampling utilizing dual auxiliary variable for finite distribution function. [PDF]
HeliyonAuxiliary data needs to be incorporated into survey sampling in order to create a precise population parameter estimator. This study investigates improving the efficiency of these estimators, the researchers use study variable [cumulative distribution ...
Junaid M +5 more
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Statistica, 2023 This paper presents some efficient classes of estimators of population variance in two-phase successive sampling under random non-response. The suggested classes of estimators are for simple random sampling and for different situations of non-response ...
Zeeshan Basit, M. Ishaq Bhatti
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