Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Poisson Extended Exponential Distribution with Associated INAR(1) Process and Applications
by Radhakumari Maya, Christophe Chesneau, Anuresha Krishna and Muhammed Rasheed Irshad
 
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
 
Comparing the Robustness of the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM) against Local Model Misspecifications with Alternative Estimation Approaches
by Alexander Robitzsch
 
Renaissance of Creative Accounting Due to the Pandemic: New Patterns Explored by Correspondence Analysis
by Roman Blazek, Pavol Durana and Jakub Michulek
 
Neutrosophic F-Test for Two Counts of Data from the Poisson Distribution with Application in Climatology
by Muhammad Aslam
 
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
by Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso
 
Statistical Analysis in the Presence of Spatial Autocorrelation: Selected Sampling Strategy Effects
by Daniel A. Griffith and Richard E. Plant
 
Statistical Prediction of Future Sports Records Based on Record Values
by Christina Empacher, Udo Kamps and Grigoriy Volovskiy
 
Estimation of Standard Error, Linking Error, and Total Error for Robust and Nonrobust Linking Methods in the Two-Parameter Logistic Model
by Alexander Robitzsch
 
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
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
Extracting Proceedings Data from Court Cases with Machine Learning
by Bruno Mathis
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
Comparing the Robustness of the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM) against Local Model Misspecifications with Alternative Estimation Approaches
by Alexander Robitzsch
Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention
by Nadia Maqbool, Paul Newton and Tayyab Shah
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
A New Benford Test for Clustered Data with Applications to American Elections
by Katherine M. Anderson, Kevin Dayaratna, Drew Gonshorowski and Steven J. Miller
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
Reciprocal Data Transformations and Their Back-Transforms
by Daniel A. Griffith
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Reciprocal Data Transformations and Their Back-Transforms
by Daniel A. Griffith
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
by Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso
Using Small Area Estimation to Produce Official Statistics
by Linda J. Young and Lu Chen
Comparing the Robustness of the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM) against Local Model Misspecifications with Alternative Estimation Approaches
by Alexander Robitzsch
Poisson Extended Exponential Distribution with Associated INAR(1) Process and Applications
by Radhakumari Maya, Christophe Chesneau, Anuresha Krishna and Muhammed Rasheed Irshad
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
Ordinal Cochran-Mantel-Haenszel Testing and Nonparametric Analysis of Variance: Competing Methodologies
by J. C. W. Rayner and G. C. Livingston, Jr.
Autoregressive Models with Time-Dependent Coefficients—A Comparison between Several Approaches
by Rajae Azrak and Guy Mélard
Closed Form Bayesian Inferences for Binary Logistic Regression with Applications to American Voter Turnout
by Kevin Dayaratna, Jesse Crosson and Chandler Hubbard
Deriving the Optimal Strategy for the Two Dice Pig Game via Reinforcement Learning
by Tian Zhu and Merry H. Ma
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