Results 21 to 30 of about 7,599 (306)
Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]
, 2001 Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Theofanis Sapatinas +5 more
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A Comparison of Model-Assisted Estimators to Infer Land Cover/Use Class Area Using Satellite Imagery
Remote Sensing, 2014 Remote sensing provides timely, economic, and objective data over a large area and has become the main data source for land cover/use area estimation. However, the classification results cannot be directly used to calculate the area of a given land cover/
Yizhan Li +5 more
doaj +1 more source
Learning to Calibrate - Estimating the Hand-eye Transformation Without Calibration Objects [PDF]
IEEE Robotics and Automation Letters, 2021 Hand-eye calibration is a method to determine the transformation linking between the robot and camera coordinate systems. Conventional calibration algorithms use a calibration grid to determine camera poses, corresponding to the robot poses, both of which are used in the main calibration procedure.
Krittin Pachtrachai +3 more
openaire +2 more sources
Calibration Ratio Estimators of Population Mean Using Median of Auxiliary Variable
, 2022 In this study we propose a calibration ratio estimator and a calibration separate ratio-product estimator of population mean of study variable under stratified sampling using the median of auxiliary variable.
Eyo, Effiong Eyo, Enang, E. I.
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A calibrated synthetic estimator for small area estimation [PDF]
Statistics in Transition New Series, 2021 Abstract Synthetic estimators are known to produce estimates of population mean in areas where no sampled data are available, but such estimates are usually highly biased with invalid confidence statements. This paper presents a calibrated synthetic estimator of the population mean which addresses these problematic issues.
Iseh, Matthew Joshua +1 more
openaire +2 more sources
A Quality Evaluation of Single and Multiple Camera Calibration Approaches for an Indoor Multi Camera Tracking System [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Human detection and tracking has been a prominent research area for several scientists around the globe. State of the art algorithms have been implemented, refined and accelerated to significantly improve the detection rate and eliminate false positives.
M. Adduci, K. Amplianitis, R. Reulke
doaj +1 more source
Estimation of the finite population covariance using calibration
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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Calibrating random forests for probability estimation [PDF]
Statistics in Medicine, 2016 Probabilities can be consistently estimated using random forests. It is, however, unclear how random forests should be updated to make predictions for other centers or at different time points. In this work, we present two approaches for updating random forests for probability estimation.
Theresa Dankowski, Andreas Ziegler
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New calibration estimation procedure in the presence of unit non response
Ain Shams Engineering Journal, 2023 In the present work, we have proposed the calibrated estimator of population mean in the presence of unit non response. The non response has been adjusted using the non response adjustment factor depending on different models (which are inverse linear ...
Ashok Kumar Jaiswal +2 more
doaj +1 more source
Mathematics, 2020 We introduce three new estimators of the drift parameter of a fractional Ornstein–Uhlenbeck process. These estimators are based on modifications of the least-squares procedure utilizing the explicit formula for the process and covariance structure of a ...
Pavel Kříž, Leszek Szała
doaj +1 more source