Temporal Aspects of Surface Water Quality Variation Using Robust Statistical Tools by Adamu Mustapha, Ahmad Zaharin Aris, Mohammad Firuz Ramli, Hafizan Juahir

“…Robust statistical tools were applied on the water quality datasets with the aim of determining the most significance parameters and their contribution towards temporal water quality variation. …”
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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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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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Handing Tolerance Problem in Fault Diagnosis of Linear-Analogue Circuits with Accurate Statistics Approach by Xin Gao, HouJun Wang, Zhen Liu

“…In this paper, a robust statistics-based approach is introduced for tolerance-influencing fault diagnosis. …”
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Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment by Sen Li, Xiaojing Chen, Rongxi He

“…To resolve this problem, we define two robust cyclic correlation functions which are derived from robust statistics property of the correntropy and the nonlinear transformation, respectively. …”
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Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution by Keivan Faghih Niresi, Chong-Yung Chi

“…By applying the Huber loss function (HLF), which is derived through a least favorable distribution in robust statistics, to DIP, we propose a novel unsupervised denoising algorithm, referred as to the HLF-DIP, free from pretraining and without involving any regularizer. …”
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A New Robust Adaptive Fading Unscented Kalman Filter-Based Vector Tracking Loop for Mitigating GNSS NLOS Reception by Mengxia He, Shing-Chow Chan, Bo Chai, Zhong Liu

“…A robust extension of the AF-UKF algorithm based on robust statistics is proposed to effectively detect and correct NLOS reception in each KF update. …”
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Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems by Michele Lungaroni, Andrea Murari, Emmanuele Peluso, Pasqualino Gaudio, Michela Gelfusa

“…To tackle this additional source of uncertainty, in this paper it is shown how already developed robust statistical tools can be usefully complemented with the Geodesic Distance on Gaussian Manifolds. …”
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Anderson-Darling and Watson tests for the geometric distribution with estimated probability of success. by Héctor Francisco Coronel-Brizio, Alejandro Raúl Hernández-Montoya, Manuel Enrique Rodríguez-Achach, Horacio Tapia-McClung, Juan Evangelista Trinidad-Segovia

“…Our study addresses this need by developing a robust statistical framework specifically for discrete distributions, particularly the geometric distribution. …”
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Review: A systematic review of dairy cow health, welfare, and behaviour in year-round loose range housing by W.J. Harvey, L. Petrokofsky, M.W. Jordon, G. Arnott, L.W. von Walter, A. Malik, T. Carter, L.S. Wade, G. Petrokofsky

“…Variation in data reporting across studies is too great to allow robust statistical analysis of the direct effects of loose-housing systems and/or grazing on the health and welfare of dairy cows. …”
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Bias Identification and Attribution in NLP Models With Regression and Effect Sizes by Erenay Dayanik, Ngoc Thang Vu, Sebastian Padó

“…Jointly, these effects contribute to a more robust statistical analysis of bias that can be used to diagnose system behavior and extract informative examples. …”
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Unveiling microbial succession dynamics on different plastic surfaces using WGCNA. by Keren Davidov, Sheli Itzahri, Liat Anabel Sinberger, Matan Oren

“…This research advances our understanding of microbial succession dynamics on marine plastic debris and introduces a robust statistical approach for identifying succession signatures of specific bacterial taxa.…”
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Optimal network sizes for most robust Turing patterns by Hazlam S. Ahmad Shaberi, Aibek Kappassov, Antonio Matas-Gil, Robert G. Endres

“…To address these issues, we employ random matrix theory to analyze the Jacobian matrices of larger networks with robust statistical properties. Our analysis reveals that Turing patterns are more likely to occur by chance than previously thought and that the most robust Turing networks have an optimal size, consisting of only a handful of molecular species, thus significantly increasing their identifiability in biological systems. …”
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Measuring Complexity in Manufacturing: Integrating Entropic Methods, Programming and Simulation by Germán Herrera-Vidal, Jairo R. Coronado-Hernández, Ivan Derpich-Contreras, Breezy P. Martínez Paredes, Gustavo Gatica

“…Furthermore, the developed methodology, validated in a case study of the metalworking sector, provides a quantitative framework that combines discrete event simulation and robust statistical analysis, offering an effective tool to anticipate and manage complexity in production. …”
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QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE by Ibrahim Tijjani Ibrahim, Adamu Uzairu, Balarabe Sagagi

“…The best model obtained was given a distinct validated, good and robust statistical parameters which include; square correlation coefficient R2 value of (0.9989), adjusted determination coefficient, R2adj value of (0.9984), Leave one out cross validation determination coefficient Q2 value of (0.9948) and external validation as predicted determination coefficient R2 value of(0.8409). …”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…The algorithm design and selection process adhere to recommendations from literature review articles, employing robust statistical techniques, including Bayesian analysis and Monte Carlo sampling to support the replicability of analysis. …”
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Spatial indicators of inequity in urban health research: a scoping review by Ana L. Favarão Leão, Raúl D. Gierbolini-Rivera, Milena Franco Silva, Courtney Shaw, Áine O’Connor, Deborah Salvo, Rodrigo Siqueira Reis

“…This research highlights the reliance on descriptive methodologies and advocates for robust statistical approaches. With conceptual clarity and improved measurements, researchers and practitioners can better develop strategies to advance urban health policies with the goal of reducing health inequities.…”
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The impact of hidden curriculum factors on professional adaptability by Danial Behmanesh, Shahram Jalilian, Akbar Babaei Heydarabadi, Mehrnaz Ahmadi, Nasrin Khajeali

“…The innovation lies in quantifying this relationship using robust statistical methods. The objective was to evaluate how these hidden curriculum elements impact students' ability to adapt professionally. …”
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Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] by C. A. Zuniga-Gonzalez, J. L. Jaramillo-Villanueva, N.E Blanco-Roa

“…Conclusions The utilization of Bootstrap methodology enhances the reliability of efficiency assessments by providing robust statistical techniques that accommodate non-normal data distributions. …”
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A novel intraoperative Esophagus-Sparing Anastomotic Narrowing Revision (ESANR) technique for patients who underwent esophagojejunostomy: three case reports and a review of the lit... by Jian Zhou, Zhenhong Wang, Guobiao Chen, Yi Li, Min Cai, Fathima Shifly Pannikkodan, Xiangzhi Qin, Dan Bai, Zhenbing Lv, Lei Gong, Yunhong Tian

“…However, further clinical data and analyses are necessary to verify its effectiveness and establish robust statistical support.…”
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