Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
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
 
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
by Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso
 
Renaissance of Creative Accounting Due to the Pandemic: New Patterns Explored by Correspondence Analysis
by Roman Blazek, Pavol Durana and Jakub Michulek
 
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
 
Statistical Prediction of Future Sports Records Based on Record Values
by Christina Empacher, Udo Kamps and Grigoriy Volovskiy
 
Comparing Robust Linking and Regularized Estimation for Linking Two Groups in the 1PL and 2PL Models in the Presence of Sparse Uniform Differential Item Functioning
by Alexander Robitzsch
 
Estimation of Standard Error, Linking Error, and Total Error for Robust and Nonrobust Linking Methods in the Two-Parameter Logistic Model
by Alexander Robitzsch
 
Statistical Analysis in the Presence of Spatial Autocorrelation: Selected Sampling Strategy Effects
by Daniel A. Griffith and Richard E. Plant
 
The Gamma-Topp-Leone-Type II-Exponentiated Half Logistic-G Family of Distributions with Applications
by Broderick Oluyede and Thatayaone Moakofi
 
A New Predictive Algorithm for Time Series Forecasting Based on Machine Learning Techniques: Evidence for Decision Making in Agriculture and Tourism Sectors
by Juan D. Borrero, Jesús Mariscal and Alfonso Vargas-Sánchez
Views Article
Recurring Errors in Studies of Gender Differences in Variability
by Theodore P. Hill and Rosalind Arden
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
by Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso
Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention
by Nadia Maqbool, Paul Newton and Tayyab Shah
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
Extracting Proceedings Data from Court Cases with Machine Learning
by Bruno Mathis
Adaptations on the Use of p-Values for Statistical Inference: An Interpretation of Messages from Recent Public Discussions
by Eleni Verykouki and Christos T. Nakas
Statistical Predictors of Project Management Maturity
by Helder Jose Celani de Souza, Valerio Antonio Pamplona Salomon and Carlos Eduardo Sanches da Silva
Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?
by João Marôco
Evaluation of Risk Prediction with Hierarchical Data: Dependency Adjusted Confidence Intervals for the AUC
by Camden Bay, Robert J Glynn, Johanna M Seddon, Mei-Ling Ting Lee and Bernard Rosner
Statistical Prediction of Future Sports Records Based on Record Values
by Christina Empacher, Udo Kamps and Grigoriy Volovskiy
Downloads Article
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
by Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso
A New Predictive Algorithm for Time Series Forecasting Based on Machine Learning Techniques: Evidence for Decision Making in Agriculture and Tourism Sectors
by Juan D. Borrero, Jesús Mariscal and Alfonso Vargas-Sánchez
Closed Form Bayesian Inferences for Binary Logistic Regression with Applications to American Voter Turnout
by Kevin Dayaratna, Jesse Crosson and Chandler Hubbard
Extracting Proceedings Data from Court Cases with Machine Learning
by Bruno Mathis
Conditional Kaplan–Meier Estimator with Functional Covariates for Time-to-Event Data
by Sudaraka Tholkage, Qi Zheng and Karunarathna B. Kulasekera
A Bayesian One-Sample Test for Proportion
by Luai Al-Labadi, Yifan Cheng, Forough Fazeli-Asl, Kyuson Lim and Yanqing Weng
Statistical Analysis in the Presence of Spatial Autocorrelation: Selected Sampling Strategy Effects
by Daniel A. Griffith and Richard E. Plant
Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices
by Julien Chevallier and Bilel Sanhaji
Climate Change: Linear and Nonlinear Causality Analysis
by Jiecheng Song and Merry Ma
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
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