Leveling method for airborne electromagnetic data based on the curvelet transform and adaptive group-sparse variational model by Qiong Zhang, Xin Chen, Haomiao Wang, Zhonghang Ji, Fei Yan, Yunqing Liu

“…Traditional leveling methods predominantly rely on time-domain and frequency-domain analysis to characterize leveling errors. However, a significant challenge remains in balancing the effective elimination of leveling errors, the preservation of data details, and the achievement of real-time performance. …”
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Patterns of language errors in the writing of Bosnian EFL students: A case study by Edina Rizvić-Eminović, Melisa Bureković, Mersad Dervić

“…A descriptive-qualitative error analysis approach was employed to classify errors and examine their underlying causes systematically. …”
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Functional Data Analysis for Prediction of Employee Presence by Nouhaila Goujili, Matthieu Saumard, Nicolas Cochard, Maher Jridi

“…This paper proposes a robust approach combining functional data analysis with the integration of exogenous variables adapted to time series (RobFTS). …”
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Systematic review and meta-analysis of quotation inaccuracy in medicine by Christopher Baethge, Hannah Jergas

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Battery Cluster Inconsistency Detection Method and Intelligent O&M Scheme Based on Vector Error Correction Model by Yuan GUO, Xiangyang XIA, Jiahui YUE, Hui LI, Jinbo WU

“…To solve the problems of incomplete battery data and fragmented data segments leading to inaccurate detection in the actual operation data of energy storage power stations, this paper proposes a battery cluster inconsistency detection method based on the vector error correction model. …”
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Enhancing Wildfire Detection via Trend Estimation Under Auto-Regression Errors by Xiyuan Liu, Lingxiao Wang, Jiahao Li, Khan Raqib Mahmud, Shuo Pang

“…Additionally, as a parametric method, the proposed algorithm can be applied to any time-related data, enabling the detection of underlying causes of trend changes for further analysis. …”
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Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data by Molly Ehrig, Garrett S Bullock, Xiaoyan Iris Leng, Nicholas M Pajewski, Jaime Lynn Speiser

“…Future research is needed to address whether the inclusion of missing indicators is useful in prediction modeling with longitudinal data in different settings, such as high dimensional data analysis.…”
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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction by Yalong Li, Ye Jin, Yangqing Dan, Wenting Zha

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Elaborating Program Impacts through Data Analysis by Glenn D. Israel

“…It outlines phases of data analysis, including identifying data errors, assessing changes in impact indicators, and examining relationships between program participation and outcomes. …”
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Reckoning applications of Z-iteration: Data dependence and solution to a delay Caputo fractional differential equation by Salman Zaheer, Ankush Chanda, Hemant Kumar Nashine

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Internal validation of self-reported case numbers in hospital quality reports: preparing secondary data for health services research by Limei Ji, Max Geraedts, Werner de Cruppé

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Analysis of some error-causing factors in two-dimensional geoelectrical studies and providing a solution to minimize them by Hosein Moghaddasi, Mohsen Moghaddasi, Ahmad Neyamadpour

“…Conclusion In this article, it was tried to present a kind of pathology regarding the reasons of the failure of some two-dimensional geoelectrical studies with an analytical view and by the results obtained from the modeling and also the field analysis of the authors. It was clarified how much measurements with high “n” values can cause errors. …”
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Analysis of Student Errors According to the Nolting Procedure on Mathematical Literacy Problems in View of Kolb's Divergent and Assimilation Styles by Luna Stefani, Liana Metta, Doni Azmi Roma

“…The use of data analysis techniques in this study includes reduction, data presentation and conclusion drawing. …”
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Cardiofaciocutaneous syndrome and immunodeficiency: data from an international multicenter cohort by Benedetta Elena Di Majo, Benedetta Elena Di Majo, Chiara Leoni, Eleonora Cartisano, Eleonora Cartisano, Chiara Fossati, Germana Viscogliosi, Valentina Trevisan, Lucia Pia Bruno, Francesca Conti, Mattia Moratti, Emilia Monaco, Donato Rigante, Donato Rigante, Beatrice Rivalta, Beatrice Rivalta, Caterina Cancrini, Caterina Cancrini, Aleksandra Szczawińska-Popłonyk, Aleksander Jamsheer, Aleksander Jamsheer, Monika Obara-Moszyńska, Viktoria Zakharova, Anna Shcherbina, Julija Rodina, Beyhan Tüysüz, Saumya Shekhar Jamuar, Saumya Shekhar Jamuar, Jiin Ying Lim, Jeannette Goh, Anna Cereda, Teresa Agovino, Ilaria Contaldo, Maria Luigia Gambardella, Adriana Cristina Balduzzi, Adriana Cristina Balduzzi, Alessia Cherubino, Giovanni Antonio Marrocco, Silvia Bellesi, Valentina Carusi, Gabriele Rumi, Andrea Biondi, Giuseppe Zampino, Giuseppe Zampino, Francesco Saettini, Francesco Saettini

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Diagnosing diagnostic error of endometriosis: a secondary analysis of patient experiences from a mixed-methods survey by Gordon D Schiff, Allyson C Bontempo

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Effect of Noise Exposure During Orthopedic Surgery on Nurses’ Information Processing: Analysis of Reaction Delays and Errors in Judgment by Qian Wang, Hao Wu, Yu Zhang

“…Correlation analysis and multivariate regression were performed to assess the relationships among noise levels, reaction time, and error rates. …”
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Comparative analysis of prescription patterns and errors in government versus private hospitals in Dhaka: A cross‐sectional study by Md Abdus Samad, K. M. Yasif Kayes Sikdar, Ashfia Tasnim Munia, Farhan Tanvir Patwary, Md Raihan Sarkar, Md. Rashidul Islam Rashed

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Insights from novel word learning: Error analysis and its relevance in understanding fast versus slow mapping by Abhishek BP, Spoorthi Jain

“…The present study was carried out with the aim of carrying out of error analysis on data involving fast and slow mapping. 20 participants were divided into two sub groups of 10 each. …”
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Insights from novel word learning: Error analysis and its relevance in understanding fast versus slow mapping by Abhishek BP, Spoorthi Jain

“…The present study was carried out with the aim of carrying out of error analysis on data involving fast and slow mapping. 20 participants were divided into two sub groups of 10 each. …”
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Performance analysis and evaluation of a hybrid erasure error correction scheme in wireless real-time multicast systems by Guo-ping TAN, Li-zhong XU, Xi-jun YAN, Zai-jun HUA

“…In order to analyze and evaluate accurately the performance of erasure error correction (EEC) schemes in wireless real-time multicast (WRM) systems,A method which relying on the Gilbert-Elliot (GE) channel model and the practical experimental data was proposed.Namely,a closed-form expression for analyzing the performance of a hybrid EEC scheme over GE channel was contributed.Then,a validating and evaluating system w th real-time multicast services over WLAN was designed.Based on the system,the maximum likelihood estimation method was adopted for statistical evaluations.The results show that the GE model can match the practical erasure error channel accurately.Both the analysis results of the hybrid EEC scheme and the experimental lts are basically coincident,which validates the accuracy of the method.This method is of reference significance for analyzing and evaluating accurately all kinds of EEC schemes in WRM systems.…”
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