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Calibration-Based Mean Estimators under Stratified Median Ranked Set Sampling
Mathematics, 2023 Using auxiliary information, the calibration approach modifies the original design weights to enhance the mean estimates. This paper initially proposes two families of estimators based on an adaptation of the estimators presented by recent researchers ...
Usman Shahzad +4 more
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Estimating Population Proportions by Means of Calibration Estimators [PDF]
Revista Colombiana de Estadística, 2015 This paper considers the problem of estimating the population proportion of a categorical variable using the calibration framework. Different situations are explored according to the level of auxiliary information available and the theoretical properties
SERGIO MARTÍNEZ +3 more
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AxiomsThe calibration method is used in stratified random sampling in the presence of measurement error to achieve optimum strata weights for better precision.
Sat Gupta, Pidugu Trisandhya
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Innovative memory-type calibration estimators for better survey accuracy in stratified sampling [PDF]
Scientific ReportsCalibration methods play a vital role in improving the accuracy of parameter estimates by effectively integrating information from various data sources.
Kanwal Shafiq Minhas +5 more
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Two models for linear comparative calibration [PDF]
International Journal of Metrology and Quality Engineering, 2012 We consider the comparative calibration problem in the case when linear relationship is assumed between two considered measuring devices with possibly different units and precisions.
Wimmer G., Witkovský V.
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A comparison of biomarker based incidence estimators. [PDF]
PLoS ONE, 2009 BACKGROUND: Cross-sectional surveys utilizing biomarkers that test for recent infection provide a convenient and cost effective way to estimate HIV incidence. In particular, the BED assay has been developed for this purpose.
Thomas A McWalter, Alex Welte
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Mathematics, 2023 One of the most useful indicators of relative dispersion is the coefficient of variation. The characteristics of the coefficient of variation have contributed to its widespread use in most scientific and academic disciplines, with real life applications.
Usman Shahzad +5 more
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Classification of Event-Related Potentials with Regularized Spatiotemporal LCMV Beamforming
Applied Sciences, 2022 The usability of EEG-based visual brain–computer interfaces (BCIs) based on event-related potentials (ERPs) benefits from reducing the calibration time before BCI operation. Linear decoding models, such as the spatiotemporal beamformer model, yield state-
Arne Van Den Kerchove +3 more
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Calibration Estimators of the Population Parameters Using Stratified Random Sample [PDF]
المجلة المصرية للسکـان وتنظيم الأسرة, 2004 One of the fundamental questions in sampling is how to use the complete auxiliary information in the estimating stag effectively. In sample surveys, recent advanced literature on estimation using auxiliary information can be classified into three main ...
Mounira Hussein
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Discrete Dynamics in Nature and Society, 2021 In this paper, we focus on heteroscedastic partially linear varying-coefficient errors-in-variables models under right-censored data with censoring indicators missing at random.
Yuye Zou, Chengxin Wu
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