Results 11 to 20 of about 1,817,965 (264)
Methods for Robust Control [PDF]
Federal Reserve Bank of San Francisco, Working Paper Series, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Richard Dennis +2 more
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Robust Correlation Coefficients That Deal With Bad Leverage Points
Methodology, 2023 Consider the usual linear regression model. A well-known concern is that a bad leverage point, which is a type of outlier, can result in a poor fit to the bulk of the data, even when using any one of many robust regression estimators.
Rand R. Wilcox
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Sampling redesign of soil penetration resistance in spatial t-Student models
Spanish Journal of Agricultural Research, 2021 Aim of study: To reduce the sample size in an agricultural area of 167.35 hectares, cultivated with soybean, to analyze the spatial dependence of soil penetration resistance (SPR) with outliers. Area of study: Cascavel, Brazil Material and methods: The
Letícia E. D. Canton +4 more
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Frontiers in Psychiatry, 2021 In the face of the COVID-19 pandemic, the swift response of mental health research funders and institutions, service providers, and academics enabled progress toward understanding the mental health consequences. Nevertheless, there remains an urgent need
Ola Demkowicz +15 more
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A Critical Study of Usefulness of Selected Functional Classifiers in Economics
Acta Universitatis Lodziensis. Folia Oeconomica, 2020 In this paper we conduct a critical analysis of the most popular functional classifiers. Moreover, we propose a new classifier for functional data. Some robustness properties of the functional classifiers are discussed as well.
Daniel Kosiorowski +2 more
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On the Robustness of Interpretability Methods
CoRR, 2018 We argue that robustness of explanations---i.e., that similar inputs should give rise to similar explanations---is a key desideratum for interpretability. We introduce metrics to quantify robustness and demonstrate that current methods do not perform well according to these metrics.
David Alvarez-Melis, Tommi S. Jaakkola
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Razorback, an Open Source Python Library for Robust Processing of Magnetotelluric Data
Frontiers in Earth Science, 2020 Magnetotellurics (MT) is a geophysical method that investigates the relationships among the different components of the natural electromagnetic field related to the geoelectric structure of the subsurface.
Farid Smaï, Pierre Wawrzyniak
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Robust Methods in Acceptance Sampling
Revstat Statistical Journal, 2013 In the quality control of a production process (of goods or services), from a statistical point of view, the focus is either on the process itself with application of Statistical Process Control or on its frontiers, with application of Acceptance ...
Elisabete Carolino , Isabel Barão
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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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Smart Structures Innovations Using Robust Control Methods
Applied Mechanics, 2023 This study’s goal is to utilize robust control theory to effectively mitigate structural oscillations in smart structures. While modeling the structures, two-dimensional finite elements are used to account for system uncertainty. Advanced control methods
Amalia Moutsopoulou +4 more
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