Results 11 to 20 of about 569,016 (270)
Geometry of deviation measures for triangular distributions
Frontiers in Applied Mathematics and Statistics, 2023 Triangular distributions are widely used in many applications with limited sample data, business simulations, and project management. As with other distributions, a standard way to measure deviations is to compute the standard deviation.
Yuhe Wang, Eugene Pinsky
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IEEE Access, 2021 This article presents deviation based exponentially weighted moving average control charts to monitor type-I censored data. Due to practical applications, this study considers Weibull distribution to assess the performance of the proposed memory-type ...
Sajid Ali +4 more
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High-Dimensional Satellite Image Compositing and Statistics for Enhanced Irrigated Crop Mapping
Remote Sensing, 2021 Accurate irrigated area maps remain difficult to generate, as smallholder irrigation schemes often escape detection. Efforts to map smallholder irrigation have often relied on complex classification models fitted to temporal image stacks. The use of high-
Michael J. Wellington, Luigi J. Renzullo
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The Mirror Effect: A Preregistered Replication
Collabra: Psychology, 2020 When individuals are exposed to their own image in a mirror, known to increase self-awareness, they may show increased accessibility of suicide-related words (a phenomenon labeled “the mirror effect”; Selimbegović & Chatard, 2013).
Jean Monéger +2 more
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A Robust Noise Estimation Algorithm Based on Redundant Prediction and Local Statistics
Sensors, 2023 Blind noise level estimation is a key issue in image processing applications that helps improve the visualization and perceptual quality of images. In this paper, we propose an improved block-based noise level estimation algorithm. The proposed algorithm
Huangxin Xie +2 more
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On the sensitivity of robust control charts in monitoring contaminated data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 Shewhart chart is typically formed under normality assumptions. In reality, much data is contaminated with occasional outliers, which may diminish the Shewhart chart’s sensitivity.
Kooi Huat Ng +3 more
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Motor-Imagery Classification Using Riemannian Geometry with Median Absolute Deviation [PDF]
Electronics, 2020 Motor imagery (MI) from human brain signals can diagnose or aid specific physical activities for rehabilitation, recreation, device control, and technology assistance. It is a dynamic state in learning and practicing movement tracking when a person mentally imitates physical activity.
Abu Saleh Musa Miah +2 more
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Robust Estimation of Reduced Rank Models to Large Spatial Datasets
Revstat Statistical Journal, 2020 For large datasets, spatial covariances are often modeled using basis functions and covariance of a reduced dimensional latent spatial process. For skewed data, likelihood based approaches with Gaussian assumption may not lead to faithful inference. Any
Casey M. Jelsema +2 more
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World Journal of Nuclear Medicine, 2021 The objective of this study was to compare the performance of variance, median absolute deviation, and the square of median absolute deviation methods of noise estimation in denoising of 99mTc-sestamibi parathyroid images using wavelet transform.
Anil Pandey +4 more
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Estimation of noise in gray-scale and colored images using median absolute deviation (MAD) [PDF]
, 2008 This paper presents a new algorithm for estimation of noise (i.e., level of noise) in both gray-scale and color images (GSI, CI). The new technique is called median-absolute deviation (MAD). This technique does require an explicit estimation of the noise
Khaleel, Hasan Hadi +2 more
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