How trade participation fuels innovation in Africa: Unveiling insights through empirical analysis by Ijirshar Victor Ushahemba, Okpe Isa Jibrin, Andohol Jerome Terhemba

“…Using a dynamic fixed effect estimator within the framework of nonstationary heterogeneous panel models on panel data of 25 African countries from 1996 to 2021, the study revealed that national income significantly influences both exports and imports in the region. …”
Get full text

Comparison of Different Analyzing Techniques in Identifying Rainfall Trends for Colombo, Sri Lanka by Anushka Perera, Thilini Ranasinghe, Miyuru Gunathilake, Upaka Rathnayake

“…Recorded rainfall data for 10 gauging stations for 30 years were tested using the MannKendall test, Sen’s slope estimator, Spearman’s rho test, and innovative graphical method. …”
Get full text

Evaluation of early student performance prediction given concept drift by Benedikt Sonnleitner, Tom Madou, Matthias Deceuninck, Filotas Theodosiou, Yves R. Sagaert

“…We demonstrate that (i) LASSO, a shrinkage estimator that reduces complexity and overfitting, outperforms several machine learning models under these circumstances, (ii) a linear regression relying on only two handcrafted features achieves higher accuracy and substantially less predictive bias than commonly used, more complex models with large feature sets. …”
Get full text

Probabilistic Noise Detection and Weighted Non-Negative Matrix Factorization-Based Noise Reduction Methods for Snapping Shrimp Noise by Suhyeon Park, Jongwon Seok, Jungpyo Hong

“…As a result, the performance of the SPP-weighted NMF (WNMF) presented at least 2 dB higher SNR and SDR while maintaining less LSD compared to the Optimally Modified Log Spectral Amplitude estimator and NMF.…”
Get full text

The Effects of Climate and Anthropogenic Activity on Hydrologic Features in Yanhe River by Yang Cheng, Hongming He, Nannan Cheng, Wenming He

“…Thiessen Polygon was created to calculate mean values of watershed, and Mann-Kendall statistic test and Sen’s slop estimator test were adapted to analyze variation trend and interaction between precipitation, runoff, and sediment discharge. …”
Get full text

Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea by Ali Bahri, Younes Khosravi

“…In trend analysis, the Mann-Kendall test was used to determine the trend of SST changes and the Sen's Estimator method was used to examine the slope of the changes. …”
Get full text

Analysis of spatiotemporal distribution, variability, and trends of rainfall in Wollo area, Northeastern Ethiopia. by Asnake Adane, Birhanu Asmerom

“…The Modified Mann Kendall (MMK) test, Sen's slope estimator and the innovative trend analysis (ITA) were employed to detect temporal changes in rainfall trends over the study period. …”
Get full text

Water Accounting and Productivity Analysis to Improve Water Savings of Nile River Basin, East Africa: From Accountability to Sustainability by Hirwa, Hubert, Zhang, Qiuying, Li, Fadong, Qiao, Yunfeng, Measho, Simon, Muhirwa, Fabien, Xu, Ning, Tian, Chao, Cheng, Hefa, Chen, Gang, Ngwijabagabo, Hyacinthe, Turyasingura, Benson, Itangishaka, Auguste Cesar

“…The Mann-Kendall (MK) statistical test and Sen’s slope estimator were applied to detect the trends of climatic factors, and the AquaCrop model was used to simulate the crop yields in response to water balance and consumption based on crop physiological, soil water, and salt budget concepts. …”
Get full text

On the Financial Determinants of the Piotroski F-Score: An Analysis of Borsa İstanbul Firms by Sinan Aytekin, Nida Abdioğlu

“…Driscoll and Kraay (1998) estimator is used with fixed effect panel regression in order to handle issues of heteroscedasticity, cross sectional dependency and autocorrelation in the model. …”
Get full text

Survival Analysis of Factors Influencing Cyclic Fatigue of Nickel-Titanium Endodontic Instruments by Eva Fišerová, Martina Chvosteková, Silvie Bělašková, Michal Bumbálek, Zdeněk Joska

“…The data were then analysed by the Kaplan-Meier estimator of the survival function, the Cox proportional hazards model, the Wald test for regression covariates, and the Wald test for significance of regression model. …”
Get full text

Spatio-temporal rainfall variability and trends using a Kriging-interpolation and Innovative trend analysis approach: the case of Wolaita zone, south Ethiopia by Elias Bojago

“…In this study, ordinary statistical measures, such as the mean and coefficient of variation, precipitation concentration index (PCI), and standardized anomaly index (SAI), were applied to investigate the rainfall variation. Concerning the estimation of the spatiotemporal distribution and magnitude of changes in, non-parametric Mann-Kendall (MK) tests, Sen’s slope estimator, and innovative trend analysis (ITA) were also conducted in ArcGIS 10.8 environment and XLSTAT/R. …”
Get full text

THE IMPACT OF ESG PRACTICES ON THE RISK PORTFOLIO OF LISTED OIL AND GAS FIRMS IN NIGERIA USING A MULTILAYERED CRITERION by Joseph Olorunfemi Akande

“…Diagnostic tests ensured adherence to Best Linear Unbiased Estimator (BLUE) assumptions. Employing both Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) regression techniques, the study addresses potential endogeneity, using industry norms as an instrumental variable (IV) in the 2SLS model. …”
Get full text

Automated Global Classification of Surface Layer Stratification Using High‐Resolution Sea Surface Roughness Measurements by Satellite Synthetic Aperture Radar by Justin E. Stopa, Chen Wang, Doug Vandemark, Ralph Foster, Alexis Mouche, Bertrand Chapron

“…Abstract A three‐state global estimator of marine surface layer atmospheric stratification is demonstrated using more than 600,000 Sentinel‐1 synthetic aperture radar wave mode images at incidence angle ≈36.8°. …”
Get full text

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China by Wei Wei, Baitian Wang, Kebin Zhang, Zhongjie Shi, Genbatu Ge, Xiaohui Yang

“…In order to examine temperature changes and extremes in the Beijing-Tianjin Sand Source Region (BTSSR), ten extreme temperature indices were selected, categorized, and calculated spanning the period 1960–2014, and the spatiotemporal variability and trends of temperature and extremes on multitimescales in the BTSSR were investigated using the Mann-Kendall (M-K) test, Sen’s slope estimator, and linear regression. Results show that mean temperatures have increased and extreme temperature events have become more frequent. …”
Get full text

XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations by Mohammad Azad, Md Faraz Kabir Khan, Sameh Abd El-Ghany

“…Our proposed model employs an ensemble approach, specifically a stacking algorithm, where the base estimators include the Light Gradient Boosting Machine (LGBM) classifier, the Logistic Regression (LR) classifier, and the Random Forest (RF) Classifier, and the Stochastic Gradient Descent (SGD) classifier is selected as the final estimator. …”
Get full text

An Enhanced Version of Second-Order Synchrosqueezing Transform Combined with Time-Frequency Image Texture Features to Detect Faults in Bearings by Xiaohan Cheng, Aiming Wang, Zongwu Li, Long Yuan, Yajing Xiao

“…Results reveal that the second-order frequency estimator of the vertical synchrosqueezing transform could obtain accurate estimates of the instantaneous frequency and achieve highly energy-concentrated time-frequency representations for multicomponent and fast-varying signals. …”
Get full text

Mining the Hidden Link Structure from Distribution Flows for a Spatial Social Network by Yanqiao Zheng, Xiaobing Zhao, Xiaoqi Zhang, Xinyue Ye, Qiwen Dai

“…Based on the spatial network, we propose a nonparametric mean-field equation to govern the rumor spreading process and apply the likelihood estimator to make inference of the unknown link structure from the observed rumor distribution flows. …”
Get full text

SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models by Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha

“…The main idea behind SurvBeNIM is to extend the Beran estimator by incorporating the importance functions into its kernels and by implementing these importance functions as a set of neural networks which are jointly trained in an end-to-end manner. …”
Get full text

The Causal Relationship between Immune-Mediated Inflammatory Diseases and Aortic Aneurysm: A Bidirectional Two-Sample Mendelian Randomization Study by Sijia Sun, Jie Li, Mengxian Sun, Jie He, Songtao Tan, Ge Wang, Yuan Zheng, Xiaoping Fan

“…Conversely, genetically predicted RA showed nonsignificant causal estimates of AA (OR = 0.97, 95% CI = 0.92–1.02, P=0.204). …”
Get full text

Location-Aware Cross-Layer Design Using Overlay Watermarks by Xianbin Wang, Paul Ho, Yiyan Wu

“…Our channel estimator iteratively estimates the channel impulse response and the combined signal vector from the overlay OFDM signal. …”
Get full text