Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

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Analysis of students' errors in solving quadratic equation word problems based on Watson's criteria by Azin Taufik, Anggar Titis Prayitno, Tika Nuanatul Mufida

“…A total of 29 tenth-grade students from SMA Negeri Cigugur were given test problems, and subsequently, 16 students were selected as research subjects, representing each of Watson's error criteria. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. …”
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Design and Test Analysis of High Precision Test Bench of RV Reducer Transmission Error by Zhu Zhonggang, Zhang Jing, Zhou Li, Han Yi'nan

“…The transmission error measurement tests of imported and domestic reducer are carried out, and the test data is processed by the filtering analysis method, and the result can show the main source of the transmission error of reducer, a reliable reference for the optimization design and manufacturing process improvement of key parts of RV reducer is provided.…”
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ANALYSIS OF LATTICE PARAMETER, ERROR, AND THE BANDGAP ENERGY IN CADMIUM SULFIDE (CdS) SEMICONDUCTOR MATERIAL by Kamelia Fikriah, Talitha Alya Syaharani, Fitri Melinda, Lulu Lutfiah, Nada Huwaidah, Agnes Tiara Vinanda, Indriyati Rahmi Setyani, Meutia Awani, Alfi Afriliani, Irmansyah Irmansyah, Irzaman Irzaman

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Medical Error Prevalence, Nursing Power, and Structural Empowerment: A Serial Mediation Analysis by Wafa’a Ta’an

“…Data collection occurred between September and November 2023 using sociodemographic, structural empowerment, and medical error questionnaires. …”
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A Linguistic Error Analysis of ESL Written Essays by Indian Tamil University Students by Asteria Gabriel Ngaiza

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Reporting the standard error of the mean: a critical analysis of three journals in manual medicine by Alen Manovic, Ebba Immelsjö, Iben Axen, Per J. Palmgren

“…It is not unusual for authors of scientific articles to incorrectly utilize the SEM rather than the SD when explaining data variability. This is problematic because the SEM is consistently smaller than the SD, which could cause readers to underestimate variation in the data. …”
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Causal analysis and impact of a systematic error detected about consumption associated with trastuzumab by Nuria Bujaldón Querejeta, Dolores Camacho Romera, José Antonio Pomares Pastor, María Sánchez Garnes, Mauricio Martínez Ramírez, Mercedes González Delgado

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Network analysis of the relationship between error orientation, self-efficacy, and innovative behavior in nurses by Guiyue Ma, Xiaoqin Ma

“…This study, guided by the theory of challenge and threat, aims to explore the relationships between nurses’ error orientation, self-efficacy, and innovative behavior through network analysis. …”
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Analysis and Prediction of Thermally Induced Positioning Error in Hydrostatic Lead-Screw Feed Systems by Jun Zha, Xiaofei Peng, Zhiyan Cai, Fei Xue

“…Hydrostatic lead screw is a key transmission component of ultra-precision machine tools, yet the induced thermal errors present a major hurdle to maintaining positioning accuracy. …”
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Error Analysis and Evaluation of the Latest GSMap and IMERG Precipitation Products over Eastern China by Shaowei Ning, Fan Song, Parmeshwar Udmale, Juliang Jin, Bhesh Raj Thapa, Hiroshi Ishidaira

“…The present study comprehensively analyzes error characteristics and performance of the two latest GPM-era satellite precipitation products over eastern China from April 2014 to March 2016. …”
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Error Distribution Pattern Analysis of Mobile Laser Scanners for Precise As-Built BIM Generation by Sung-Jae Bae, Junbeom Park, Joonhee Ham, Minji Song, Jung-Yeol Kim

“…Based on the assumption that each MLS device exhibits consistent and unique error distribution patterns, an experiment was conducted using three MLS devices and TLS-derived reference data. …”
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Clinical Accuracy Analysis and Error Modeling in the CyberKnife System; A Comparative Study by Payam Samadi Miandoab, Saeed Setayeshi, shahyar Saramad

“…Material and Methods: The clinical log data was analyzed to assess the correlation and prediction errors. …”
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Variability of Interpolation Errors and Mutual Enhancement of Different Interpolation Methods by Yunxia He, Mingliang Luo, Hui Yang, Leichao Bai, Zhongsheng Chen

“…Data interpolation methods are important statistical analysis tools that can fill in data gaps and missing areas by predicting and estimating unknown data points, thereby improving the accuracy and credibility of data analysis and research. …”
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On the Exact Asymptotic Error of the Kernel Estimator of the Conditional Hazard Function for Quasi-Associated Functional Variables by Abdelkader Rassoul, Abderrahmane Belguerna, Hamza Daoudi, Zouaoui Chikr Elmezouar, Fatimah Alshahrani

“…By employing kernel smoothing techniques and asymptotic analysis, we derive the exact asymptotic expression for the leading terms of the quadratic error, providing a precise characterization of the estimator’s convergence behavior. …”
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Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. I. Methodology and Goodness-of-fit Statistic of Poisson Data by Massimiliano Bonamente, Yang Chen, Dale Zimmerman

“…This paper presents a new statistical method that enables the use of systematic errors in the maximum-likelihood regression of integer-count Poisson data to a parametric model. …”
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A data-driven hybrid framework for voltage transformer ratio error prediction: Addressing challenges in complex power systems by Jiuxi Cui, Zhenhua Li, Heping Lu, Feng Zhou, Haoyu Chen, Zhenxing Li

“…However, the large-scale integration of renewable energy into the grid affects the transient performance of power systems, presenting significant challenges for the accurate measurement of VT ratio errors. This paper presents a hybrid prediction framework incorporating a layered signal decomposition and reconstruction approach, along with feature selection and data augmentation, to forecast transformer ratio errors under limited data conditions. …”
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Inflated effect estimates for vitamin D supplementation are driven by common meta-analytical errors by Eric T. Trexler

“…The data were reanalyzed after correcting for these common meta-analytic errors.Results The results of this reanalysis reflect a dramatically smaller and statistically nonsignificant pooled effect estimate of SMD = 0.16 (-0.24 to 0.56, p = 0.43) in favor of supplementation. …”
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Winter Wheat Yield Prediction and Influencing Factors Analysis Based on FourierGNN–Random Forest Combined Modeling by Jianqin Ma, Yijian Chen, Bifeng Cui, Yu Ding, Xiuping Hao, Yan Zhao, Junsheng Li, Xianrui Su

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GRAMMATICAL ERRORS IN THESIS ABSTRACTS WRITTEN BY THE UNDERGRADUATE STUDENTS OF MANAGEMENT STUDY PROGRAM by Soraya Grabiella Dinamika

“…The data were analyzed by using the Error Analysis Method by Gass and Selinker. …”
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