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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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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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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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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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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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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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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Electromyography of the External Anal Sphincter during Micturition and Electrophysiological Bulbocavernosus Reflex in Healthy Spayed Female Canines by Nicha Mongkolrat, Areerath Akatvipat, Phitchaya Saenubol, Pachara Pornnimitara, Sukolrat Boonyayatra, Siam Tongprasert

“…This study aimed to find methods and interferences and illustrate the pattern of external anal sphincter (EAS) electromyography (EMG) during micturition and to determine reference intervals of electrophysiological bulbocavernosus reflex (EBCR) by using robust statistical methods in healthy spayed female canines. …”
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Weighing temporal fluctuations of drought features in Rwanda through the implementation of the standardized precipitation evapotranspiration index and standardized precipitation in... by Kazora Jonah, Zhu Weijun, Kyaw Oo Than, Temesgen Gebremariam Asfaw, Emmanuel Adu Gyamfi Kedjanyi, Abraham Okrah, Akimana Diane, Mathieu Mbati Mugunga

“…Through the utilization of complementary drought indices and robust statistical approaches, this study offers valuable insights into Rwanda’s susceptibility to climate variability and its impacts on socio-economic advancement. …”
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Optimization of anthracene biodegradation by indigenous Trichoderma lixii and Talaromyces pinophilus using response surface methodology by Samson O. Egbewale, Ajit Kumar, Mduduzi P. Mokoena, Ademola O. Olaniran

“…This systematic optimization approach supported by robust statistical analyses and a deep exploration of biodegradation mechanisms holds the promise of more efficient and sustainable methods for remediating PAH-contaminated environments.…”
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Mechanical properties of Portland cement concrete mixed with different doses of recycled brick powder and steel fiber by Mohammad Mohtasham Moein, Ali Mohtasham Moein, Ashkan Saradar, Sam E. Rigby, Hassan Tazari, Moses Karakouzian

“…Due to the high variability of impact data, a two-parameter Weibull distribution was applied to provide a more robust statistical interpretation of the results. The findings revealed that 5 % RBP in plain concrete caused slight reductions in mechanical properties, with decreases of 1.48 % in compressive, 1.12 % in flexural, 1.42 % in tensile, 3.19 % in first crack, and 3.03 % in failure strengths. …”
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Network Meta-Analysis and Trial Sequential Analysis of Randomised Controlled Trials Comparing Robotic, Laparoscopic, and Open Pancreatoduodenectomy by Nejo Joseph, MBChB, Chris Varghese, MBChB, James Lucocq, MBChB, Matthew J. McGuinness, MBChB, Samuel Tingle, MBChB, Giovanni Marchegiani, PhD, Kjetil Soreide, PhD, Mohammed Abu-Hilal, Jas Samra, Marc Besselink, PhD, Steve White, Sanjay Pandanaboyana, FRCS

“…However, few studies demonstrated robust statistical significance in outcome measures, suggesting an underpowered evidence base and possible selection bias. …”
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Factors associated with attention-deficit/hyperactivity disorder among Tunisian children by Asma Guedria, Asma Guedria, Asma Guedria, Mohamed Guedria, Manel Ben Fredj, Manel Ben Fredj, Randaline Ayoub, Randaline Ayoub, Randaline Ayoub, Hela Ben Abid, Hela Ben Abid, Hela Ben Abid, Ahmed Mhalla, Ahmed Mhalla, Ahmed Mhalla, Hela Slama, Hela Slama

“…Further participants with more robust statistical output are required to confirm our findings to a more generalized population.…”
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