Stats

2018 - 2025

Current editor(s): Mrs. Minnie Li

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Volume 6, issue 4, 2023

The Logistic Burr XII Distribution: Properties and Applications to Income Data pp. 1-20

Renata Rojas Guerra, Fernando A. Peña-Ramírez and Gauss M. Cordeiro

On Underdispersed Count Kernels for Smoothing Probability Mass Functions pp. 1-15

Célestin C. Kokonendji, Sobom M. Somé, Youssef Esstafa and Marcelo Bourguignon

Confounder Adjustment in Shape-on-Scalar Regression Model: Corpus Callosum Shape Alterations in Alzheimer’s Disease pp. 1-10

Harshita Dogra, Shengxian Ding, Miyeon Yeon, Rongjie Liu and Chao Huang

On the Vector Representation of Characteristic Functions pp. 1-10

Wolf-Dieter Richter

Process Monitoring Using Truncated Gamma Distribution pp. 1-25

Sajid Ali, Shayaan Rajput, Ismail Shah and Hassan Houmani

Terroir in View of Bibliometrics pp. 1-24

Christos Stefanis, Elpida Giorgi, Giorgios Tselemponis, Chrysa Voidarou, Ioannis Skoufos, Athina Tzora, Christina Tsigalou, Yiannis Kourkoutas, Theodoros C. Constantinidis and Eugenia Bezirtzoglou

An Archimedean Copulas-Based Approach for m -Consecutive- k -Out-of- n: F Systems with Exchangeable Components pp. 1-12

Ioannis S. Triantafyllou

Ensemble Algorithms to Improve COVID-19 Growth Curve Estimates pp. 1-18

Raydonal Ospina, Jaciele Oliveira, Cristiano Ferraz, André Leite and João Gondim

Effective Sample Size with the Bivariate Gaussian Common Component Model pp. 1-18

Letícia Ellen Dal Canton, Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo and Tamara Cantu Maltauro

Social Response and Measles Dynamics pp. 1-18

Atinuke O. Adebanji, Franz Aschl, Ednah Chepkemoi Chumo, Emmanuel Odame Owiredu, Johannes Müller and Tukae Mbegalo

Computationally Efficient Poisson Time-Varying Autoregressive Models through Bayesian Lattice Filters pp. 1-16

Yuelei Sui, Scott H. Holan and Wen-Hsi Yang

Revisiting the Large n (Sample Size) Problem: How to Avert Spurious Significance Results pp. 1-16

Aris Spanos

Pivot Clustering to Minimize Error in Forecasting Aggregated Demand Streams Each Following an Autoregressive Moving Average Model pp. 1-28

Vladimir Kovtun, Avi Giloni, Clifford Hurvich and Sridhar Seshadri

Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices pp. 1-32

Julien Chevallier and Bilel Sanhaji

Newcomb–Benford’s Law in Neuromuscular Transmission: Validation in Hyperkalemic Conditions pp. 1-19

Adriano Silva, Sergio Floquet and Ricardo Lima

Exploring the Consumer Acceptance of Nano Clothing Using a PLS-SEM Analysis pp. 1-19

Andreea-Ionela Puiu, Rodica Ianole-Călin and Elena Druică

Implementation Aspects in Invariance Alignment pp. 1-19

Alexander Robitzsch

Adjustment of Anticipatory Covariates in Retrospective Surveys: An Expected Likelihood Approach pp. 1-19

Gebrenegus Ghilagaber and Rolf Larsson

Self-Organizing Topological Multilayer Perceptron: A Hybrid Method to Improve the Forecasting of Extreme Pollution Values pp. 1-19

Javier Linkolk López-Gonzales, Ana María Gómez Lamus, Romina Torres, Paulo Canas Rodrigues and Rodrigo Salas

A Shared Frailty Model for Left-Truncated and Right-Censored Under-Five Child Mortality Data in South Africa pp. 1-11

Tshilidzi Benedicta Mulaudzi, Yehenew Getachew Kifle and Roel Braekers

Comparison between Two Algorithms for Computing the Weighted Generalized Affinity Coefficient in the Case of Interval Data pp. 1-13

Áurea Sousa, Osvaldo Silva, Leonor Bacelar-Nicolau, João Cabral and Helena Bacelar-Nicolau

Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators pp. 1-13

Szilárd Nemes

The Semi-Hyperbolic Distribution and Its Applications pp. 1-21

Roman V. Ivanov

Volume 6, issue 3, 2023

Analysis of Ordinal Populations from Judgment Post-Stratification pp. 1-27

Amirhossein Alvandi and Armin Hatefi

Statistical Modeling of Implicit Functional Relations pp. 1-18

Stan Lipovetsky

Exploring Heterogeneity with Category and Cluster Analyses for Mixed Data pp. 1-16

Veronica Distefano, Maria Mannone and Irene Poli

The New Exponentiated Half Logistic-Harris-G Family of Distributions with Actuarial Measures and Applications pp. 1-29

Gayan Warahena-Liyanage, Broderick Oluyede, Thatayaone Moakofi and Whatmore Sengweni

Multi-Step-Ahead Prediction Intervals for Nonparametric Autoregressions via Bootstrap: Consistency, Debiasing, and Pertinence pp. 1-29

Dimitris N. Politis and Kejin Wu

Investigating Self-Rationalizing Models for Commonsense Reasoning pp. 1-13

Fanny Rancourt, Paula Vondrlik, Diego Maupomé and Marie-Jean Meurs

Statistical Predictors of Project Management Maturity pp. 1-21

Helder Jose Celani de Souza, Valerio Antonio Pamplona Salomon and Carlos Eduardo Sanches da Silva

Orthonormal F Contrasts for Factors with Ordered Levels in Two-Factor Fixed-Effects ANOVAs pp. 1-11

J. C. W. Rayner and G. C. Livingston

A Detecting System for Abrupt Changes in Temporal Incidence Rate of COVID-19 and Other Pandemics pp. 1-11

Jiecheng Song, Guanchao Tong and Wei Zhu

Khinchin’s Fourth Axiom of Entropy Revisited pp. 1-10

Zhiyi Zhang, Hongwei Huang and Hao Xu

On the Extreme Value H -Function pp. 1-10

Pushpa Narayan Rathie, Luan Carlos de Sena Monteiro Ozelim, Felipe Quintino and Tiago A. da Fonseca

Some More Results on Characterization of the Exponential and Related Distributions pp. 1-7

Lev B. Klebanov

Guess for Success? Application of a Mixture Model to Test-Wiseness on Multiple-Choice Exams pp. 1-6

Steven B Caudill and Franklin Mixon

A Family of Finite Mixture Distributions for Modelling Dispersion in Count Data pp. 1-14

Seng Huat Ong, Shin Zhu Sim, Shuangzhe Liu and Hari M. Srivastava

Volume 6, issue 2, 2023

Interval-Censored Regression with Non-Proportional Hazards with Applications pp. 1-14

Fábio Prataviera, Elizabeth M. Hashimoto, Edwin M. M. Ortega, Taciana V. Savian and Gauss M. Cordeiro

Causal Inference in Threshold Regression and the Neural Network Extension (TRNN) pp. 1-24

Yiming Chen, Paul J. Smith and Mei-Ling Ting Lee

Combining Probability and Nonprobability Samples by Using Multivariate Mass Imputation Approaches with Application to Biomedical Research pp. 1-9

Sixia Chen, Alexandra May Woodruff, Janis Campbell, Sara Vesely, Zheng Xu and Cuyler Snider

Game-Theoretic Models of Coopetition in Cournot Oligopoly pp. 1-20

Guennady Ougolnitsky and Alexey Korolev

Area under the Curve as an Alternative to Latent Growth Curve Modeling When Assessing the Effects of Predictor Variables on Repeated Measures of a Continuous Dependent Variable pp. 1-15

Daniel Rodriguez

Recurring Errors in Studies of Gender Differences in Variability pp. 1-7

Theodore P. Hill and Rosalind Arden

The Network Bass Model with Behavioral Compartments pp. 1-13

Giovanni Modanese

Detecting Regional Differences in Italian Health Services during Five COVID-19 Waves pp. 1-13

Lucio Palazzo and Riccardo Ievoli

Evaluation of Risk Prediction with Hierarchical Data: Dependency Adjusted Confidence Intervals for the AUC pp. 1-13

Camden Bay, Robert J Glynn, Johanna M Seddon, Mei-Ling Ting Lee and Bernard Rosner

Adaptations on the Use of p -Values for Statistical Inference: An Interpretation of Messages from Recent Public Discussions pp. 1-13

Eleni Verykouki and Christos T. Nakas

Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review pp. 1-21

Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso

Model Selection with Missing Data Embedded in Missing-at-Random Data pp. 1-11

Keiji Takai and Kenichi Hayashi

The Gamma-Topp-Leone-Type II-Exponentiated Half Logistic-G Family of Distributions with Applications pp. 1-28

Broderick Oluyede and Thatayaone Moakofi

Climate Change: Linear and Nonlinear Causality Analysis pp. 1-17

Jiecheng Song and Merry Ma

A New Extended Weibull Distribution with Application to Influenza and Hepatitis Data pp. 1-17

Gauss M. Cordeiro, Elisângela C. Biazatti and Luís H. de Santana

Modeling Model Misspecification in Structural Equation Models pp. 1-17

Alexander Robitzsch

Volume 6, issue 1, 2023

Panel Data Models for School Evaluation: The Case of High Schools’ Results in University Entrance Examinations pp. 1-10

Manuel Salas-Velasco

Quantum-like Data Modeling in Applied Sciences: Review pp. 1-9

Stan Lipovetsky

Analytic Error Function and Numeric Inverse Obtained by Geometric Means pp. 1-7

Dmitri Martila and Stefan Groote

Estimating Smoothness and Optimal Bandwidth for Probability Density Functions pp. 1-20

Dimitris N. Politis, Peter F. Tarassenko and Vyacheslav A. Vasiliev

Renaissance of Creative Accounting Due to the Pandemic: New Patterns Explored by Correspondence Analysis pp. 1-20

Roman Blazek, Pavol Durana and Jakub Michulek

Farlie–Gumbel–Morgenstern Bivariate Moment Exponential Distribution and Its Inferences Based on Concomitants of Order Statistics pp. 1-15

Sasikumar Padmini Arun, Christophe Chesneau, Radhakumari Maya and Muhammed Rasheed Irshad

Acknowledgment to the Reviewers of Stats in 2022 pp. 1-2

Stats Editorial Office

A Class of Enhanced Nonparametric Control Schemes Based on Order Statistics and Runs pp. 1-14

Nikolaos I. Panayiotou and Ioannis S. Triantafyllou

Efficient Two-Stage Analysis for Complex Trait Association with Arbitrary Depth Sequencing Data pp. 1-14

Zheng Xu, Song Yan, Shuai Yuan, Cong Wu, Sixia Chen, Zifang Guo and Yun Li

An ϵ -Greedy Multiarmed Bandit Approach to Markov Decision Processes pp. 1-14

Isa Muqattash and Jiaqiao Hu

Consecutive- k 1 and k 2 -out-of- n: F Structures with a Single Change Point pp. 1-12

Ioannis S. Triantafyllou and Miltiadis Chalikias

Applying the Multilevel Approach in Estimation of Income Population Differences pp. 1-32

Venera Timiryanova, Dina Krasnoselskaya and Natalia Kuzminykh

A Novel Flexible Class of Intervened Poisson Distribution by Lagrangian Approach pp. 1-19

Muhammed Rasheed Irshad, Mohanan Monisha, Christophe Chesneau, Radhakumari Maya and Damodaran Santhamani Shibu

A New Soft-Clipping Discrete Beta GARCH Model and Its Application on Measles Infection pp. 1-19

Huaping Chen

A Semiparametric Tilt Optimality Model pp. 1-16

Chathurangi H. Pathiravasan and Bhaskar Bhattacharya

On Weak Convergence of the Bootstrap Copula Empirical Process with Random Resample Size pp. 1-16

Salim Bouzebda

A Phylogenetic Regression Model for Studying Trait Evolution on Network pp. 1-18

Dwueng-Chwuan Jhwueng

Change Point Detection by State Space Modeling of Long-Term Air Temperature Series in Europe pp. 1-18

Magda Monteiro and Marco Costa

Do Deep Reinforcement Learning Agents Model Intentions? pp. 1-17

Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru and Raul Vicente

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 pp. 1-17

Alexander Robitzsch

Statistical Prediction of Future Sports Records Based on Record Values pp. 1-17

Christina Empacher, Udo Kamps and Grigoriy Volovskiy

Data Cloning Estimation and Identification of a Medium-Scale DSGE Model pp. 1-13

Pedro Chaim and Márcio Laurini

A New Class of Alternative Bivariate Kumaraswamy-Type Models: Properties and Applications pp. 1-21

Indranil Ghosh

The Linear Skew-t Distribution and Its Properties pp. 1-30

C. J. Adcock

Informative g -Priors for Mixed Models pp. 1-23

Yu-Fang Chien, Haiming Zhou, Timothy Hanson and Theodore Lystig

Bayesian Logistic Regression Model for Sub-Areas pp. 1-23

Lu Chen and Balgobin Nandram

Incorporating Covariates into Measures of Surrogate Paradox Risk pp. 1-23

Fatema Shafie Khorassani, Jeremy M. G. Taylor, Niko Kaciroti and Michael R. Elliott

Point Cloud Registration via Heuristic Reward Reinforcement Learning pp. 1-11

Bingren Chen

Assessing Area under the Curve as an Alternative to Latent Growth Curve Modeling for Repeated Measures Zero-Inflated Poisson Data: A Simulation Study pp. 1-11

Daniel Rodriguez