Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?
by João Marôco
 
A New Weighted Lindley Model with Applications to Extreme Historical Insurance Claims
by Morad Alizadeh, Mahmoud Afshari, Gauss M. Cordeiro, Ziaurrahman Ramaki, Javier E. Contreras-Reyes, Fatemeh Dirnik and Haitham M. Yousof
 
Model-Free Feature Screening Based on Data Aggregation for Ultra-High-Dimensional Longitudinal Data
by Junfeng Chen, Xiaoguang Yang, Jing Dai and Yunming Li
 
Terroir in View of Bibliometrics
by Christos Stefanis, Elpida Giorgi, Giorgios Tselemponis, Chrysa Voidarou, Ioannis Skoufos, Athina Tzora, Christina Tsigalou, Yiannis Kourkoutas, Theodoros C. Constantinidis and Eugenia Bezirtzoglou
 
Evaluating Estimator Performance Under Multicollinearity: A Trade-Off Between MSE and Accuracy in Logistic, Lasso, Elastic Net, and Ridge Regression with Varying Penalty Parameters
by H. M. Nayem, Sinha Aziz and B. M. Golam Kibria
 
Active Learning for Stacking and AdaBoost-Related Models
by Qun Sui and Sujit K. Ghosh
 
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence
by Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn and Haijun Gong
 
On the Appropriateness of Fixed Correlation Assumptions in Repeated-Measures Meta-Analysis: A Monte Carlo Assessment
by Vasileios Papadopoulos
 
Estimation of Standard Error, Linking Error, and Total Error for Robust and Nonrobust Linking Methods in the Two-Parameter Logistic Model
by Alexander Robitzsch
 
Sentiment Analysis for Tourism Insights: A Machine Learning Approach
by Kenza Charfaoui and Stéphane Mussard
Downloads Article
Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?
by João Marôco
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence
by Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn and Haijun Gong
Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices
by Julien Chevallier and Bilel Sanhaji
Terroir in View of Bibliometrics
by Christos Stefanis, Elpida Giorgi, Giorgios Tselemponis, Chrysa Voidarou, Ioannis Skoufos, Athina Tzora, Christina Tsigalou, Yiannis Kourkoutas, Theodoros C. Constantinidis and Eugenia Bezirtzoglou
Contrastive Learning Framework for Bitcoin Crash Prediction
by Zhaoyan Liu, Min Shu and Wei Zhu
Revisiting the Large n (Sample Size) Problem: How to Avert Spurious Significance Results
by Aris Spanos
Mass Conservative Time-Series GAN for Synthetic Extreme Flood-Event Generation: Impact on Probabilistic Forecasting Models
by Divas Karimanzira
Exploring the Consumer Acceptance of Nano Clothing Using a PLS-SEM Analysis
by Andreea-Ionela Puiu, Rodica Ianole-Călin and Elena Druică
Newcomb–Benford’s Law in Neuromuscular Transmission: Validation in Hyperkalemic Conditions
by Adriano Silva, Sergio Floquet and Ricardo Lima
Two-Stage Limited-Information Estimation for Structural Equation Models of Round-Robin Variables
by Terrence D. Jorgensen, Aditi M. Bhangale and Yves Rosseel
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