Results 1 to 10 of about 561,515 (118)

Pilot Samples for Estimation of Linkage Error [PDF]

open access: yesInternational Journal of Population Data Science
Efficient estimation of linkage error in large linked datasets requires careful allocation of limited clerical review resources. We investigate the use of small stratified “pilot” samples as an initial, low-cost strategy for informing sample size ...
Gavin Thomson, Matt Wray
doaj   +2 more sources

A Residual-Driven ResCompFormer for Multi-Sensor Systematic Error Compensation and Target Trajectory Reconstruction [PDF]

open access: yesSensors
Multi-sensor data fusion is essential for accurate target tracking and trajectory reconstruction. However, common forms of systematic error in multi-sensor observations, including constant biases, linear drifts, and saturating exponential drifts, can ...
Sihua Wang   +4 more
doaj   +2 more sources

ESTIMATION OF ERROR FOLLOWED BY KNOWLEDGE OF RESULTS IN A MODERATE OR HIGH FREQUENCY ENHANCES MOTOR LEARNING AND MAY AVOID EXTRINSIC FEEDBACK DEPENDENCE [PDF]

open access: yesJournal of Physical Education, 2022
The present study aimed to analyze how different schedules combining error estimation and relative frequency of extrinsic feedback affects motor learning.
Fabiano de Souza Fonseca   +5 more
doaj   +1 more source

Tensor-Based Target Parameter Estimation Algorithm for FDA-MIMO Radar with Array Gain-Phase Error

open access: yesRemote Sensing, 2022
As a new radar system, FDA-MIMO radar has recently developed rapidly, as it has broad prospects in angle-range estimation. Unfortunately, the performance of existing algorithms for FDA-MIMO radar is greatly degrading or even failing under the condition ...
Yuehao Guo   +4 more
doaj   +1 more source

Joint Error Estimation and Calibration Method of Memory Nonlinear Mismatch for a Four-Channel 16-Bit TIADC System

open access: yesSensors, 2022
Memory nonlinear error greatly reduces the performance of analog-to-digital converters (ADCs), and this effect is more serious in a time-interleaved analog-to-digital converter (TIADC) system. In this study, the sinusoidal wave fitting method was adopted
Jianwei Zhang   +4 more
doaj   +1 more source

Estimation of Shape Error with Monitoring Signals

open access: yesSensors, 2023
Recently, extensive research has actively been conducted in relation to intelligent manufacturing systems. During the machining process, various factors, such as geometric errors, vibrations, and cutting force fluctuations, lead to shape errors.
Hyein Kim, Soohyun Nam, Eunseok Nam
doaj   +1 more source

Estimation of Pool Construction and Technical Error

open access: yesAgriculture, 2021
Pooling animals with extreme phenotypes can improve the accuracy of genetic evaluation or provide genetic evaluation for novel traits at relatively low cost by exploiting large amounts of low-cost phenotypic data from animals in the commercial sector ...
John Keele   +4 more
doaj   +1 more source

Estimation of analysis and forecast error variances [PDF]

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2014
Accurate estimates of error variances in numerical analyses and forecasts (i.e. difference between analysis or forecast fields and nature on the resolved scales) are critical for the evaluation of forecasting systems, the tuning of data assimilation (DA)
Malaquias Peña, Zoltan Toth
doaj   +1 more source

Relationship between Motor Estimation Error and Physical Function in Patients with Parkinson’s Disease

open access: yesMedicines, 2020
Background: Motor estimation error is an index of how accurately one’s body movement is recognized. This study determines whether motor estimation error distance is a Parkinson’s disease (PD)- or age-related disability using a two-step task. Methods: The
Katsuya Sakai   +4 more
doaj   +1 more source

Reducing Model Error Effects in El Niño–Southern Oscillation Prediction Using Ensemble Coupled Data Assimilation

open access: yesRemote Sensing, 2023
Model error is an important source of uncertainty that significantly reduces the accuracy of El Niño–Southern Oscillation (ENSO) prediction. In this study, ensemble coupled data assimilation was employed to estimate the tendency error of the fifth ...
Yanqiu Gao, Youmin Tang, Ting Liu
doaj   +1 more source

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