A survey of robust statistics [PDF]
Statistical Methods and Applications, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium [PDF]
, 2009 Under complete linkage disequilibrium (LD), robust tests often have greater power than Pearson's chi-square test and trend tests for the analysis of case-control genetic association studies.
Geller, Nancy +4 more
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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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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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Improving Electronic Sensor Reliability by Robust Outlier Screening
Sensors, 2013 Electronic sensors are widely used in different application areas, and in some of them, such as automotive or medical equipment, they must perform with an extremely low defect rate. Increasing reliability is paramount.
Federico Cuesta +1 more
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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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Robust functional principal components: A projection-pursuit approach [PDF]
, 2011 In many situations, data are recorded over a period of time and may be regarded as realizations of a stochastic process. In this paper, robust estimators for the principal components are considered by adapting the projection pursuit approach to the ...
Bali, Juan Lucas +3 more
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A Robust Statistics Approach to Minimum Variance Portfolio Optimization [PDF]
, 2015 We study the design of portfolios under a minimum risk criterion. The performance of the optimized portfolio relies on the accuracy of the estimated covariance matrix of the portfolio asset returns.
Couillet, Romain +2 more
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