Results 51 to 60 of about 1,990,709 (285)
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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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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Robust regularized singular value decomposition with application to mortality data [PDF]
, 2013 We develop a robust regularized singular value decomposition (RobRSVD) method for analyzing two-way functional data. The research is motivated by the application of modeling human mortality as a smooth two-way function of age group and year.
Huang, Jianhua Z. +2 more
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The Breakdown Point — Examples and Counterexamples
Revstat Statistical Journal, 2007 The breakdown point plays an important though at times controversial role in statistics. In situations in which it has proved most successful there is a group of transformations which act on the sample space and which give rise to an equivariance ...
P.L. Davies , U. Gather
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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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Improving standards in brain-behaviour correlation analyses
Frontiers in Human Neuroscience, 2012 Associations between two variables, for instance between brain and behavioural measurements, are often studied using Pearson correlation. However, Pearson correlation is not robust: outliers can introduce false correlations or mask existing ones.
Guillaume A Rousselet, Cyril R Pernet
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On the Robustness of the Bayes and Wiener Estimators under Model Uncertainty
, 2017 This paper deals with the robust estimation problem of a signal given noisy observations. We assume that the actual statistics of the signal and observations belong to a ball about the nominal statistics. This ball is formed by placing a bound on the Tau-
Zorzi, Mattia
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How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated
Frontiers in Psychology, 2018 The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality.
Jolynn Pek +3 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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