Results 11 to 20 of about 619,717 (297)
Calibration Estimation in Survey Sampling [PDF]
International Statistical Review, 2010 Summary Calibration estimation, where the sampling weights are adjusted to make certain estimators match known population totals, is commonly used in survey sampling. The generalized regression estimator is an example of a calibration estimator. Given the functional form of the calibration adjustment term, we establish the asymptotic equivalence ...
Kim, Jae Kwang, Park, Mingue
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Calibrated Estimators of the Population Covariance
Acta Applicandae Mathematicae, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Plikusas, Aleksandras, Pumputis, Dalius
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Calibration as Estimation [PDF]
, 1987 One aspect of calibration in macroeconomics is the notion that the free parameters of models should be chosen by matching certain moments of the simulated models with those of actual data. We formally examine this notion by treating the process of calibration as an econometric estimator.
Gregory, Allan W. +3 more
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Estimation of the finite population covariance using calibration [PDF]
Nonlinear Analysis, 2010 Estimators of the finite population covariance with several systems of weights are considered. New calibrated estimators of the finite population covariance (variance) are derived, using two and three weighting systems that are defined by various ...
A. Plikusas, D. Pumputis
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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
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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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Some Model Assisted Estimators Using Functional Form Calibration Approach
, 2021 The Model assisted estimators are approximately design unbiased, consistent and provides robustness in the case of large sample sizes. The model assisted estimators result in reduction of the design variance if underlying model reasonably defines the ...
Alam, Naila +3 more
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Calibration-Based Estimators using Different Distance Measures under Two Auxiliary Variables: A Comparative Study [PDF]
, 2021 This article introduces calibration estimators under different distance measures based on two auxiliary variables in stratified sampling. The theory of the calibration estimator is presented.
Rai, Piyush Kant +5 more
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Calibration estimation in dual-frame surveys [PDF]
Statistical Methods & Applications, 2015 33 ...
Maria Giovanna Ranalli +3 more
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