نتایج جستجو برای: median absolute deviation method
تعداد نتایج: 1877703 فیلتر نتایج به سال:
Density-functional-based and ab initio calculations were implemented at different computational levels to estimate the binding energy of Zn2+ ion adsorbed on the available sites of a silicate MEL-type adsorbent. B3LYP and MP2 were used in combination with the 6-31G*, 6-31+G*, LanL2DZ, 6-311+G*, and Def2-TZVP basis sets. The zinc cation was found to preferentially occupy the 6MR sites followed b...
An outlier-resistance phase retrieval algorithm based on alternating direction method of multipliers (ADMM) is devised in this letter. Instead of the widely used least squares criterion that is only optimal for Gaussian noise environment, we adopt the least absolute deviation criterion to enhance the robustness against outliers. Considering both intensityand amplitude-based observation models, ...
The verbal definition of the sample median sounds a bit strange in early Statistics courses context being non-mathematical or non-functional. It is also interesting that estimators based on an analytical calculation such as mean are equally strange, but not seen by students estimator. In this study, we have expanded studies teaching with its optimization definitions. We shown definitions provid...
Pneumonia is a disease that causes inflammation of the lungs and one most common diseases infecting toddlers. As directly infectious disease, there possibility influence location diversity on number pneumonia sufferers. Robust Geographically Temporally Weighted Regression (RGTWR) method used to model data by considering heterogeneity time overcome outliers in data. The sufferers aged under five...
BACKGROUND One substantial part of microarray studies is to predict patients' survival based on their gene expression profile. Variable selection techniques are powerful tools to handle high dimensionality in analysis of microarray data. However, these techniques have not been investigated in competing risks setting. This study aimed to investigate the performance of four sparse variable select...
Due to the propagation effect, arrival time of ground wave peak is delayed when sferics propagate at long distances. In this work, we propose a new method combined with numerical algorithm correct effect delay and calculate ionosphere height using difference between skywave. The results showed that, each increase distance by 100 km, in increased an average 0.9 μs. For first second reflectance h...
The estimation of the standard deviation of noise contaminating an image is a fundamental step in wavelet-based noise reduction techniques. The method widely used is based on the mean absolute deviation (MAD). This model-based method assumes specific characteristics of the noise-contaminated image component. Three novel and alternative methods for estimating the noise standard deviation are pro...
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