Results 1 to 10 of about 2,351,479 (189)
ESTIMATION OF ERROR FOLLOWED BY KNOWLEDGE OF RESULTS IN A MODERATE OR HIGH FREQUENCY ENHANCES MOTOR LEARNING AND MAY AVOID EXTRINSIC FEEDBACK DEPENDENCE [PDF]
Journal 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
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Oscillation in a posteriori error estimation [PDF]
Numerische Mathematik, 2021 AbstractIn a posteriori error analysis, the relationship between error and estimator is usually spoiled by so-called oscillation terms, which cannot be bounded by the error. In order to remedy, we devise a new approach where the oscillation has the following two properties.
Christian Kreuzer, Andreas Veeser
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Tensor-Based Target Parameter Estimation Algorithm for FDA-MIMO Radar with Array Gain-Phase Error
Remote 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
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Sensors, 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
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Estimation of Shape Error with Monitoring Signals
Sensors, 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
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Estimation of Pool Construction and Technical Error
Agriculture, 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
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Nonparametric estimation of mean-squared prediction error in nested-error regression models [PDF]
, 2005 Nested-error regression models are widely used for analyzing clustered data. For example, they are often applied to two-stage sample surveys, and in biology and econometrics.
Hall, Peter, Maiti, Tapabrata
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Estimation of analysis and forecast error variances [PDF]
Tellus: 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
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Medicines, 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
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Remote 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
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