Search Results - statistical (modelling–validation OR modeling–validation)

Inverse analysis method for mathematical modeling of hydrodynamic ballast in a drilling rig by I. R. Antypas, A. G. Dyachenko, B. I. Saed

“…Using a basic (nonlinear) mathematical model, the auxiliary braking torque of a hydrobrake is calculated as a function of pressure, density, and viscosity. The proposed model validity is established. The calculated values of the braking torque were used as a criterion of correctness. …”
Get full text

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. …”
Get full text

Risk prediction models for delayed gastric emptying in patients after pancreaticoduodenectomy: a systematic review and meta-analysis by Juan Li, Zhifeng Gu, Lumei Huang

“…Most studies had a high overall bias risk, primarily due to retrospective designs and inadequate model validation. Pooled analysis showed moderate predictive accuracy (AUC=0.728, 95% CI 0.678 to 0.778) with moderate heterogeneity (I² = 32.6%). …”
Get full text

Evaluating the Uncertainty and Predictive Performance of Probabilistic Models Devised for Grade Estimation in a Porphyry Copper Deposit by Raymond Leung, Alexander Lowe, Arman Melkumyan

“…In mining geology, model validation efforts have generally lagged behind the development and deployment of computational models. …”
Get full text

Fostering Teachers’ Competencies for Integrated Language Arts, Science, and Technology Instruction: An Exploratory Study by Miriam Rhodes, Hanno van Keulen, Martine Gijsel, Adrie Visscher

“…The program’s design is based on the four-component instructional-design (4C/ID) model, validated in many areas for developing complex professional skills. …”
Get full text

Assessing SPI and SPEI for drought forecasting through the power law process: A case study in South Sulawesi, Indonesia by Nurtiti Sunusi, Nur Hikmah Auliana

Get full text

Effects of Organizational Silence on Organizational Citizenship Behaviors: The Mediating Role of Positive Leadership Behaviors by Abbas Babaeinejad, Khashayar Setoodeh, Mohammad Dehyadegari, Hoda Sadat Shahamat

“…The analysis conducted through structural equation modeling validated that positive leadership behaviors act as a mediator in the relationship linking organizational silence to organizational citizenship behaviors among employees, revealing a significant indirect effect (β = -0.24, p < 0.01). …”
Get full text

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

“…In this study, a Shield TBM model, validated using field data, was employed to perform numerical analyses on parameters such as tunnel diameter, ground elastic modulus, face pressure, and backfill pressure. …”
Get full text

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. …”
Get full text

Chronic Changes on Kidney Histology by a Multiclass Artificial Intelligence Model by Aleksandar Denic, Muhammad S. Asghar, Lucas Stetzik, Austin Reynolds, Jaidip M. Jagtap, Mahesh Kumar, Aidan F. Mullan, Andrew R. Janowczyk, Mariam P. Alexander, Maxwell L. Smith, Fadi E. Salem, Laura Barisoni, Andrew D. Rule

“…Results: During the AI model validation step, the agreement between the AI detections and human annotations was similar to the agreement between human pairs, except that the AI model showed less agreement with AH. …”
Get full text

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. …”
Get full text

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

“…The results of the model test indicate a significant correlation (R2 = 0.9644) between the measured and predicted surface roughness values of 3/1 twill fabric, with a 95% confidence interval. Model validation was performed, and the study showed that the measured and predicted values of the surface roughness of 3/1 twill fabric have a 0.828 coefficient of determination (R2). …”
Get full text

Predictive Analysis of Stress and Burnout Among Medical Students: Exploring Personal and Environmental Contributors by Qurratulain Mehfooz, Nadia Tufail, Sehar Shamshad Ali, Raheela Subhani, Sehar Amjad, Zertaj Kashif

“…A CHAID decision tree model was applied to classify high-risk groups, with model validity evaluated through classification accuracy and risk estimates. …”
Get full text

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. …”
Get full text

Devaluation, Oil Price Shock and Consumer Price Inflation: Evidence from Markov Autoregressive Regime Switching Model by David Umoru, Salisu Shehu Umar, Beauty Igbinovia

Get full text

Determinants of chronic disease patients' intention to use Internet diagnosis and treatment services: based on the UTAUT2 model by Jing Zhao, Bei Li, Jianwei Sun, Xu Zeng, Jing Zheng

“…Subsequent data analysis was conducted using SPSS 26.0 and AMOS 28.0 software, encompassing descriptive statistics and structural equation modeling. Furthermore, the Bootstrap method was employed to rigorously assess the mediating effects within the model.ResultsThe empirical findings reveal that: (1) Model validation indicates that performance expectancy (β = 0.151, p = 0.002), effort expectancy (β = 0.105, p = 0.022), social influence (β = 0.206, p &lt; 0.001), price value (β = 0.138, p = 0.002), trust (β = 0.124, p = 0.003), and electronic health literacy (β = 0.184, p &lt; 0.001) exert significant positive effects on the behavioral intention to use Internet diagnosis and treatment services. …”
Get full text

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

“…This validation uses complete claims data on a sample of approximately 6000 individuals booked into 2 diverse jails in a midwestern state. This model validation uses 313 unique demographic and clinical characteristics from 5 years of historical health care data. …”
Get full text