Results 21 to 30 of about 5,238,545 (299)
About Validation-Comparison of Burned Area Products
Remote Sensing, 2020 This paper proposes a validation-comparison method for burned area (BA) products. The technique considers: (1) bootstrapping of scenes for validation-comparison and (2) permutation tests for validation.
Germán M. Valencia +4 more
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Sakarya University Journal of Education, 2022 The main purpose of this study is to examine the quantitative studies conducted in the field of English Language Education in terms of methodology and to report the findings.
Atilla Özdemir +2 more
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Performance of Some Estimators of Relative Variability
Frontiers in Applied Mathematics and Statistics, 2019 The classic coefficient of variation (CV) is the ratio of the standard deviation to the mean and can be used to compare normally distributed data with respect to their variability, this measure has been widely used in many fields. In the Social Sciences,
Raydonal Ospina +1 more
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Quantifying the time course of visual object processing using ERPs: it’s time to up the game
Frontiers in Psychology, 2011 Hundreds of studies have investigated the early ERPs to faces and objects using scalp and intracranial recordings. The vast majority of these studies have used uncontrolled stimuli, inappropriate designs, peak measurements, poor figures, and poor ...
Guillaume A Rousselet, Cyril R Pernet
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Določitev primernega geodetskega datuma z uporabo robustnih statističnih metod ( = Definition of appropriate geodetic datum using robust statistical methods) [PDF]
Geodetski Vestnik, 2016 The correct determination of geodetic datum is an obligatory condition for the proper determination of the point displacements. There are various methods of deformation analysis focused on the right identification of stable points, which ...
Aleš Marjetič, Klemen Kregar
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A practical method to account for outliers in simple linear regression using the median of slopes [PDF]
Scientia Agricola, 2023 The ordinary least squares (OLS) can be affected by errors associated with heteroscedasticity and outliers, and extreme points can influence the regression parameters. Methods based on the median rather than on the mean and variance are more resistant to
Luis O. Tedeschi, Michael L. Galyean
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RES-Q: Robust Outlier Detection Algorithm for Fundamental Matrix Estimation
IEEE Access, 2018 Detection of outliers present in noisy images for an accurate fundamental matrix estimation is an important research topic in the field of 3-D computer vision.
Sushil Pratap Bharati +3 more
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A Robust Method for Gaussian Profile Estimation in the Case of Overlapping Objects
IEEE Access, 2021 The precise stellar object identification is one of the major research fields in astronomy. In astronomical images, the 2D Gaussian function provides a good approximation of stellar objects.
Anita Gribl, Davor Petrinovic
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The main contributions of robust statistics to statistical science and a new challenge
Metron, 2020 In the first part of the paper, we trace the development of robust statistics through its main contributions which have penetrated mainstream statistics.
E. Ronchetti
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Sensors, 2020 The extraction of relevant wavelengths from a large dataset of Near Infrared Spectroscopy (NIRS) is a significant challenge in vibrational spectroscopy research.
Divo Dharma Silalahi +4 more
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