Minimizing Bleed-Through Effect in Medieval Manuscripts with Machine Learning and Robust Statistics by Adriano Ettari, Massimo Brescia, Stefania Conte, Yahya Momtaz, Guido Russo

“…With the aim of developing a bleed-through removal tool, capable of batch application on a large number of images, of the order of hundred thousands, we used machine learning and robust statistical methods with four different methods, and applied them to two medieval manuscripts. …”
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Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design by M.S.S.R. Tejaswini, Pankaj Pathak

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Tax Audit in Turkiye: Simulation and Estimations Based on Kernel and Weight Functions by Mehmet Niyazi Çankaya, Murat Aydın

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Near-infrared hyperspectral imaging and robust statistics for in vivo non-melanoma skin cancer and actinic keratosis characterisation. by Lloyd A Courtenay, Innes Barbero-García, Saray Martínez-Lastras, Susana Del Pozo, Miriam Corral de la Calle, Alonso Garrido, Diego Guerrero-Sevilla, David Hernandez-Lopez, Diego González-Aguilera

“…This study employed robust statistical methods for the identification of an optimal spectral window where the different samples could be differentiated. …”
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Are interventional radiology techniques ideal for nonpenetrating splenic injury management: Robust statistical analysis of the Trauma Quality Program database. by Randeep S Jawa, Amit Gupta, James Vosswinkel, Marc Shapiro, Wei Hou

“…We compared SAE to other splenic injury management strategies using robust statistical techniques.<h4>Materials and methods</h4>Univariate analyses of demographics and outcomes were performed for four patient groups: observation, SAE, splenic surgery, splenic surgery + SAE in the American College of Surgeons Trauma Quality Program (TQIP) database. …”
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REMLA: An R package for robust expectation-maximization estimation for latent variable models by Kenneth J. Nieser, Bryan Saúl Ortiz-Torres, Gabriel Zayas-Cabán, Amy Cochran

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Examination of Quantitative Studies Published in National Journals in the Field of English Language Education in Terms of Methodology by Atilla Özdemir, İdil Sayın, Ayşenur Uluyol

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Optimizing Sensor Data Interpretation via Hybrid Parametric Bootstrapping by Victor V. Golovko

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Robust Method for Confidence Interval Estimation in Outlier-Prone Datasets: Application to Molecular and Biophysical Data by Victor V. Golovko

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The Use of Modern Robust Regression Analysis with Graphics: An Example from Marketing by Marco Riani, Anthony C. Atkinson, Gianluca Morelli, Aldo Corbellini

“…Our analysis makes much use of graphics and data monitoring to provide a paradigmatic example of the use of modern robust statistical tools based on graphical interaction with data. …”
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Convergence of Extreme Value Statistics in a Two-Layer Quasi-Geostrophic Atmospheric Model by Vera Melinda Gálfi, Tamás Bódai, Valerio Lucarini

“…Due to the limited (though very large) data size and to the presence of serial correlations, it is difficult to obtain robust statistics of extremes in the case of the other observables. …”
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A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. by Julian Hecker, Dmitry Prokopenko, Matthew Moll, Sanghun Lee, Wonji Kim, Dandi Qiao, Kirsten Voorhies, Woori Kim, Stijn Vansteelandt, Brian D Hobbs, Michael H Cho, Edwin K Silverman, Sharon M Lutz, Dawn L DeMeo, Scott T Weiss, Christoph Lange

“…In the testing step, the application of robust statistics minimizes the susceptibility to main effect misspecifications. …”
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Uncertainty of 21st Century western U.S. snowfall loss derived from regional climate model large ensemble by Jesse Norris, Stefan Rahimi, Lei Huang, Benjamin Bass, Chad W. Thackeray, Alex Hall

“…Here we exploit the robust statistics of the downscaled ensemble, and diagnose the sensitivity of end-of-century snowfall loss across the region to both warming and regional wetting/drying in the driving GCM. …”
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MagPySV: A Python Package for Processing and Denoising Geomagnetic Observatory Data by G. A. Cox, W. J. Brown, L. Billingham, R. Holme

“…It applies corrections for documented baseline changes, and optionally, data may be excluded using the ap index, which removes effects from documented high solar activity periods such as geomagnetic storms. Robust statistics are used to identify and remove outliers. …”
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Cytoreductive HIPEC-Combined Surgery in Treatment of Advanced Ovarian Cancer by M. V. Zabelin, A. S. Safonov, N. V. Kuznetsov

“…The treatment of stage III—IV ovarian cancer patients in a concurrent combined approach is promising and requires further in-depth research and a more robust statistics.…”
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Association between human herpesviruses infections and childhood neurodevelopmental disorders: insights from two-sample mendelian randomization analyses and systematic review with... by Liwei Fang, Zuojun Wang, Jingyi Zhao, Xun Wu, Shunxin Wang, Hui Gao, De Wu

“…Further research is necessary to include larger and more robust statistics of HHV infections and NDDs. Trial registration This systematic review was registered at PROSPERO as CRD42024554169. …”
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Estimating the Effects of Climate Fluctuations on Precipitation and Temperature in East Africa by Edovia Dufatanye Umwali, Xi Chen, Brian Odhiambo Ayugi, Richard Mumo, Hassen Babaousmail, Dickson Mbigi, David Izere

“…Additionally, climate changes were estimated under various emission scenarios, namely low (SSP1-2.6), medium (SSP2-4.5), and high (SSP5-8.5) scenarios. Multiple robust statistics metrics, the Taylor diagram, and interannual variability skill (IVS) were employed to identify the best-performing models. …”
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Methods to Estimate Surface Roughness Length for Offshore Wind Energy by Maryam Golbazi, Cristina L. Archer

“…Comparing mean and median of z0, we find that the median is a more robust statistics because the mean varies by over four orders of magnitude across the three methods and the two campaigns. …”
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Topological information entropy and spectral energy analysis in aminal-linked covalent organic frameworks by Xiujun Zhang, Micheal Arockiaraj, Aravindan Maaran, C. I. Arokiya Doss

“…Additionally, we employ these descriptors as the basis for robust statistical regression models, facilitating the generation of graph energies for these frameworks and the analysis of HOMO–LUMO gaps.…”
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Validated Extractive Spectrophotometric Estimation of Tadalafil in Tablet Dosage Form by J. Adlin Jino Nesalin, C. Jose Gnana Babu, G. Vijaya Kumar, T. Tamizh Mani

“…These developed methods were validated for precision, accuracy, ruggedness and robustness. Statistical analysis proves that the methods are reproducible and selective for the routine analysis of the said drug.…”
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