Results 1 to 10 of about 7,599 (306)
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 +2 more
exaly +4 more sources
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
doaj +6 more sources
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
exaly +4 more sources
Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data [PDF]
International Statistical Review, 2011 Survey calibration (or generalized raking) estimators are a standard approach to the use of auxiliary information in survey sampling, improving on the simple Horvitz–Thompson estimator.
Thomas Lumley +2 more
exaly +3 more sources
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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Calibration as estimation [PDF]
Econometric Reviews, 1990 Calibration in macroeconomics involves choosing fre parameters by matching certain moments of simulted models with those of data. We formally examine this method by treating the process of calibration as an econometric estimator. A numerical version of the Mehra-Prescott (1985) economy is the setting for an evaluation of calibration estimators via ...
Allan W. Gregory, Gregor W. Smith
openaire +1 more source
Estimating Expected Calibration Errors [PDF]
, 2021 12 pages, 2 figures ...
Nicolas Posocco, Antoine Bonnefoy
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On the Calibration of Human Pose Estimation
CoRR, 2023 Most 2D human pose estimation frameworks estimate keypoint confidence in an ad-hoc manner, using heuristics such as the maximum value of heatmaps. The confidence is part of the evaluation scheme, e.g., AP for the MSCOCO dataset, yet has been largely overlooked in the development of state-of-the-art methods.
Kerui Gu, Rongyu Chen, Angela Yao
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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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