Search Results - statistics modelling–validation

Religious faith, gratitude, conflict resolution styles, and romantic love by Marius Marici, Adelia Furdui (Florea), Patricia Runcan

“…Established measurement tools assessed key variables, while the model's validity was evaluated through multiple statistical benchmarks (e.g., fit indices), allowing a comprehensive assessment of pathways linking religious faith, gratitude, conflict resolution, and romantic love.ResultsAnalyses indicated that religious faith strongly predicted gratitude. …”
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Estimation of bimodal soil-water characteristics curve under wetting process. by Nura Bello, Alfrendo Satyanaga, Nurly Gofar, Jong Kim

“…Six soil types were used in the model validation. The overall model performance has been evaluated through statistical methods using the coefficient of determination (R2) and Root Mean Square Error (RMSE). …”
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Going concern prediction – A horse race between traditional and regularization machine learning models by Tina Vuko, Slavko Šodan, Ivana Perica

“…Given our results, we suggest that model selection should consider the results of the model calibration, a combination of different performance metrics, and the economic impact of the statistical performance of the model, if feasible.…”
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Prediction of Settlement Due to Shield TBM Tunneling Based on Three-Dimensional Numerical Analysis by Ji-Seok Yun, Han-Kyu Yoo, Sung-Pil Hwang, Woo-Seok Kim, Han-Eol Kim

“…The proposed model was statistically validated using <i>p</i>-value assessment, variance inflation factor (VIF), coefficient of determination (R²), and residual analysis. …”
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Development of Ubiquitous Project-Based Learning (U-Pjbl) Model to Improve Critical Thinking Skills of Elementary School Students by Intan Safiah, Muhammad Yunus, Amar Zaki, Ahadin, Hasniyati

“…Furthermore, the reliability of the U-PjBL model validation instrument was based on interobserver agreement obtained from the statistical analysis percentage. …”
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Evaluation of Landslide Risk Using the WoE and IV Methods: A Case Study in the Zipaquirá–Pacho Road Corridor by Sandra Velazco, Álvaro Rodríguez, Martín Riascos, Fernando Nieto, Dayana Granados

“…This study develops a landslide susceptibility zoning map for the Zipaquirá–Pacho road corridor in Cundinamarca, an area prone to frequent landslides. Two statistical methods—Weight of Evidence (WoE) and Information Value (IV)—were used alongside various causal factors to generate the map using GIS software (ArcGIS Pro 3.5.0 software.). …”
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Landslide susceptibility analysis on road sections in Kaligesing District, Indonesia, using Frequency Ratio (FR) approaches by Rianita Pertiwi, Junun Sartohadi, M. Anggri Setiawan, Edwin Maulana

“…GIS approach and quantitative statistical analysis Frequency Ratio (FR) were used in the susceptibility model. …”
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Shear damage constitutive model of rock-like joint surface considering the coupling effect of cyclic water intrusion and loading by Zhe Qin, Runchang Zhang, Ke Wang, Lixue Cao, Yushui Yan

“…A shear damage constitutive model considering the coupling effect of cyclic water intrusion and load was developed based on macroscopic phenomenological damage mechanics and micro-statistical theory. Results indicate: (1) All critical shear mechanical parameters (including peak shear strength, shear stiffness, basic friction angle, and joint compressive strength) exhibit progressive deterioration with increasing water intrusion cycles; (2) Model validation through experimental curve comparisons confirms its reliability. …”
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Impact of safety accidental factors on safety performance for high-rise building projects: EFA-SEM approach by Bilal Manzoor, Idris Othman, Abdul Hannan Qureshi, Nicholas Chileshe

“…The results indicated that the factor F8 (mishandling construction material) was eliminated from the final structural equation model because it did not have an adequate statistically significant value. The final structural equation model passed the goodness-of-fit tests and hypothesis testing, indicating the model's validity. …”
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Risk prediction models for delayed gastric emptying in patients after pancreaticoduodenectomy: a systematic review and meta-analysis by Juan Li, Zhifeng Gu, Lumei Huang

“…Heterogeneity among studies was evaluated using the I² statistic and Cochran’s Q test, and publication bias was assessed through Egger’s regression test and funnel plot symmetry. …”
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Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province. by Shahram Gorgani, Maryam Hafezparast Mavaddat, Saadi Fathi

“…In this study, the SWAT hydrological model was used to simulate runoff at the Khersabad hydrometric station on the Merg River over a 33-year statistical period (1990-2022). The first five-year period (1990-1995) was used for model warm-up, the next ten years (1995-2014) for calibration, and the final eight years (2015-2022) for model validation. …”
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Effect of the Shadow Economy on Tax Revenue in Sub-Saharan African Countries: A Dynamic Panel Data Analysis by Бантыергу Енгида Бати

“…The analysis covers 15 SSA countries over the period of 15 years, using the Arellano-Bover/Blundell-Bond GMM estimation method. Model validity was confirmed through Arellano-Bond autocorrelation tests and a significant Wald chi-squared statistic, ensuring robust results. …”
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Modelling Surface Roughness of 3/1 Twill Fabric Using Weft Yarn Count and Weft Thread Density by Wassie Mengie, Kura Alemayehu Beyene, Getaneh Alamir Eshetie

“…Based on the results and findings, the effects of count and density on the roughness of 3/1 twill fabric were found to be statistically significant for the developed model at a confidence interval of 95%. …”
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Inverse analysis method for mathematical modeling of hydrodynamic ballast in a drilling rig by I. R. Antypas, A. G. Dyachenko, B. I. Saed

“…Taking into account the standard error array and the minimum standard error, the statistical errors made during experimental measurements are considered. …”
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Consciousness Disorders after Elective Surgery in Patients with Cerebrovascular Insufficiency by V. V. Likhvantsev, Yu. V. Ilyin, E. A. Shmeleva, M. P. Danilov, Yu. V. Skripkin, O. A. Grebenchikov

“…The rate of early and persistent cognitive dysfunction differed statistically significantly in patients with prior delirium; the logistic regression model validly predicted a relationship between this event and the neuropsychological indicators on 7 days postsurgery. …”
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Development of a decision support system for assessing the technical condition of power transformers by Vladislav A. Shelomentsev, Ilya S. Sukhachev, Sergey V. Sidorov, Valery V. Sushkov, Rustam N. Khamitov, Petr V. Chepur

“…To improve the reliability of power transformers while minimizing maintenance costs through the application of artificial intelligence methods. Methods. Statistical analysis of chromatographic data of transformer oil; data preprocessing (elimination of anomalous and duplicate records, z‑transformation); classical machine learning methods (linear regression, Random Forest, Extra Trees, Hist Gradient Boosting), model validation using an 8:2 data split; development of a model structure based on AutoML with the specialized FEDOT software platform; calculation and analysis of model performance metrics (R², MAE, MSE, RMSE); ensemble methods Averaging, Weighted Averaging, Stacking, Blending and XGBoost. …”
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Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data by Erin B Comartin, Grant Victor, Athena Kheibari, Brian K Ahmedani, Bethany Hedden-Clayton, Richard N Jones, Ted R Miller, Jennifer E Johnson, Lauren M Weinstock, Sheryl Kubiak

“…ResultsFirst, the algorithm will be validated on the data gathered for the jail sample using the C-statistic and area under the receiver operating characteristic curve. …”
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