Results 11 to 20 of about 1,977,172 (267)
Robustne statistične metode, Dopplerjeva opazovanja in vpliv večpotja pri opazovanjih GNSS v oteženih razmerah ( = Robust statistics, Doppler observations and multipath effect in GNSS in adverse conditions) [PDF]
Geodetski Vestnik, 2016 High sensitivity GPS receivers represent an attempt at seamless navigation in conditions that are not favourable for satellite reception.
Klemen Kozmus Trajkovski +2 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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Remote Sensing, 2023 A robust multisensor navigation filter design for the entry phase of next-generation Mars entry, descent, and landing (EDL) is presented. The entry phase is the longest and most uncertain portion of a Mars landing sequence. Navigation performance at this
Natnael S. Zewge, Hyochoong Bang
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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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HOW TO REDUCE DIMENSIONALITY OF DATA: ROBUSTNESS POINT OF VIEW [PDF]
Serbian Journal of Management, 2015 Data analysis in management applications often requires to handle data with a large number of variables. Therefore, dimensionality reduction represents a common and important step in the analysis of multivariate data by methods of both statistics and ...
Jan Kalina, Dita Rensová
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HIGHLY ROBUST METHODS IN DATA MINING [PDF]
Serbian Journal of Management, 2013 This paper is devoted to highly robust methods for information extraction from data, with a special attention paid to methods suitable for management applications.
Jan Kalina
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Robust Dynamic Mode Decomposition
IEEE Access, 2022 This paper develops a robust dynamic mode decomposition (RDMD) method endowed with statistical and numerical robustness. Statistical robustness ensures estimation efficiency at the Gaussian and non-Gaussian probability distributions, including heavy ...
Amir Hossein Abolmasoumi +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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A New Estimator: Median of the Distribution of the Mean in Robustness
Mathematics, 2023 In some statistical methods, the statistical information is provided in terms of the values used by classical estimators, such as the sample mean and sample variance.
Alfonso García-Pérez
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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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